CN106787695A - A kind of Switching Power Supply control method of dynamic response optimization - Google Patents
A kind of Switching Power Supply control method of dynamic response optimization Download PDFInfo
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- CN106787695A CN106787695A CN201710094409.8A CN201710094409A CN106787695A CN 106787695 A CN106787695 A CN 106787695A CN 201710094409 A CN201710094409 A CN 201710094409A CN 106787695 A CN106787695 A CN 106787695A
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02M—APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
- H02M3/00—Conversion of dc power input into dc power output
- H02M3/02—Conversion of dc power input into dc power output without intermediate conversion into ac
- H02M3/04—Conversion of dc power input into dc power output without intermediate conversion into ac by static converters
- H02M3/06—Conversion of dc power input into dc power output without intermediate conversion into ac by static converters using resistors or capacitors, e.g. potential divider
- H02M3/07—Conversion of dc power input into dc power output without intermediate conversion into ac by static converters using resistors or capacitors, e.g. potential divider using capacitors charged and discharged alternately by semiconductor devices with control electrode, e.g. charge pumps
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02M—APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
- H02M3/00—Conversion of dc power input into dc power output
- H02M3/22—Conversion of dc power input into dc power output with intermediate conversion into ac
- H02M3/24—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters
- H02M3/28—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac
- H02M3/325—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac using devices of a triode or a transistor type requiring continuous application of a control signal
- H02M3/335—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac using devices of a triode or a transistor type requiring continuous application of a control signal using semiconductor devices only
- H02M3/33569—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac using devices of a triode or a transistor type requiring continuous application of a control signal using semiconductor devices only having several active switching elements
- H02M3/33576—Conversion of dc power input into dc power output with intermediate conversion into ac by static converters using discharge tubes with control electrode or semiconductor devices with control electrode to produce the intermediate ac using devices of a triode or a transistor type requiring continuous application of a control signal using semiconductor devices only having several active switching elements having at least one active switching element at the secondary side of an isolation transformer
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02M—APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
- H02M1/00—Details of apparatus for conversion
- H02M1/0003—Details of control, feedback or regulation circuits
-
- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02M—APPARATUS FOR CONVERSION BETWEEN AC AND AC, BETWEEN AC AND DC, OR BETWEEN DC AND DC, AND FOR USE WITH MAINS OR SIMILAR POWER SUPPLY SYSTEMS; CONVERSION OF DC OR AC INPUT POWER INTO SURGE OUTPUT POWER; CONTROL OR REGULATION THEREOF
- H02M3/00—Conversion of dc power input into dc power output
- H02M3/02—Conversion of dc power input into dc power output without intermediate conversion into ac
- H02M3/04—Conversion of dc power input into dc power output without intermediate conversion into ac by static converters
- H02M3/06—Conversion of dc power input into dc power output without intermediate conversion into ac by static converters using resistors or capacitors, e.g. potential divider
- H02M3/07—Conversion of dc power input into dc power output without intermediate conversion into ac by static converters using resistors or capacitors, e.g. potential divider using capacitors charged and discharged alternately by semiconductor devices with control electrode, e.g. charge pumps
- H02M3/072—Conversion of dc power input into dc power output without intermediate conversion into ac by static converters using resistors or capacitors, e.g. potential divider using capacitors charged and discharged alternately by semiconductor devices with control electrode, e.g. charge pumps adapted to generate an output voltage whose value is lower than the input voltage
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- Engineering & Computer Science (AREA)
- Power Engineering (AREA)
- Dc-Dc Converters (AREA)
- Feedback Control In General (AREA)
Abstract
The Switching Power Supply control method of a kind of dynamic response optimization, based on including Buck buck topology circuits, determining frequency LLC regulating circuits, the control system that output voltage sampling circuit and the control circuit with microcontroller as control core are constituted.Sampling obtains the factor of evaluation about dynamic response effect during system fading margin, including the overshoot during regulation and the stabilization time of system output voltage, multi-objective optimization algorithm module is according to overshoot and the stabilization time of system output voltage, assess the performance of pid control module, and final iteration obtains the parameter that overshoot in the control process for enable to pid control module and stabilization time are optimal, so that the dynamic response effect of system is optimal.
Description
Technical field
The present invention relates to the control method of Switching Power Supply, more particularly to a kind of dynamic response based on multi-objective optimization algorithm
Optimization Switching Power Supply control method.
Background technology
In field of switch power, dynamic response is an important indicator for assessing Switching Power Supply performance, improves digital power
Control method can improve Switching Power Supply dynamic response capability.It is summed up in current control mode main by three kinds of numerals
Control method, the first is the control method based on linearity compensator, using numerically controlled flexibility, the suitable control of adjustment
Parameter or compensator form, so that system reaches bandwidth higher, while having enough stability margins again.This kind of controlling party
Formula can reduce noise problem using fixed switching frequency, realize the quick regulation of voltage and easy cost of implementation is low.But
It is that these methods are limited by the finite bandwidth and digitial controller structure of voltage loop, bandwidth is difficult to be adjusted to higher.
Another kind is the principle based on self-adaptive PID and fuzzy, for a power-supply system, the different work of correspondence
Different parameters are designed during state, when power work, controller can voluntarily complete PID according to the working condition of power supply
The switching of parameter, makes power supply always work at optimum Working, but the method need to carry out pid parameter in system design to be set
Meter, it is impossible to which the actual performance in system operation according to system shows to optimize pid control module.
Also one kind is to add nonlinear control mode so that power work in dynamic condition, gamma controller
Play a role, improve the bandwidth of system, the Hysteresis control mode based on voltage mode can realize that constant switching frequency has
Variable stagnant loop bandwidth, in some applications can be as the alternative for improving dynamic response.But in actual application,
Above scheme is often subject to various limitations, such as the Hysteresis control of voltage mode is not directly applicable Boost
Converter, can be influenced each other with voltage-regulation pattern again in Buck converters, and the hystersis controller of current-mode can be avoided
These problems, but they but have larger difficulty among practical application.
Above control model is both needed to be designed control system at the beginning of Power Management Design, may be faced with adaptive system
Various situations, often involve the derivation of equation of load, in addition in high frequency switch power, the actual work of the derivation of equation and system
Make situation deviation often occur to cause the operational failure of system so as to deviation occurs in the setting for causing system.
As modern manavelins develop towards intelligentized direction, realize one kind in the case of output voltage stabilization
Can realize that dynamic tuning is optimal to realize according to the pid control module in the split powered-down source of operating each item data of system
The control mode of dynamic response effect is particularly important.
The content of the invention
The purpose of the present invention is directed to a kind of moving based on multi-objective optimization algorithm of deficiency offer that existing technology is present
State response optimization Switching Power Supply control method.
The present invention to achieve the above object, is adopted the following technical scheme that：A kind of power control method of dynamic response optimization,
It is characterized in that：Based on including prime Buck buck topology circuits, rear class determines frequency LLC regulating circuits, input voltage sample circuit,
The control system that amplifier isolation circuit and the control circuit with microcontroller as control core are constituted, output voltage sampling
Circuit sampling rear class determines the output voltage of frequency LLC, and it is control core then to be exported to microcontroller by amplifier isolation circuit
The control circuit of the heart, the output signal of the control circuit with microcontroller as core controls prime Buck buck topology circuits respectively
In two switching tubes and rear class four switching tubes determining in frequency LLC pressure regulation topological circuits, wherein：
Output voltage sampling circuit determines the load resistance R of frequency LLC pressure regulation topological circuits by rear class1,R2Partial pressure is sampled, electricity
Resistance R1One end connection rear class determine frequency LLC pressure regulation topological circuits, resistance R1Other end connection resistance R2One end and as electricity
Pressure sampled output, resistance R2The other end connection output ground terminal；
Amplifier isolation circuit is operational amplifier k1, operational amplifier k1Negative terminal connection voltage sample output end, fortune
Calculate amplifier k1Anode connection output ground terminal；
Relevant dynamic response during the system fading margin that microcontroller is obtained for the control circuit of control core for sampling
The factor of evaluation of effect, including the overshoot during regulation and the stabilization time of system output voltage, according to overshoot with
And the stabilization time of system output voltage, the performance of pid control module is assessed, and final iteration obtains enabling to PID control
The parameter that overshoot and stabilization time in the control process of module are optimal, so that the dynamic response effect of system
It is optimal；Including AD conversion module, pid control module, timer module, multi-objective optimization algorithm module and pulse width
There is module in modulation, the input signal of AD conversion module is operational amplifier k1Output signal, AD conversion module will change after
Output voltage values export respectively to timer module and pid control module, timer module receives output voltage values, and with set
Determine magnitude of voltage and export overshoot and stabilization time more afterwards to give multi-objective optimization algorithm module, the duty of pid control module output
Prime Buck buck topologies circuit and rear class is controlled to determine the switching tube of frequency LLC pressure regulation topological circuits, multiple-objection optimization than signal
Algoritic module optimizes the parameter of pid control module, including Proportional coefficient K p, integral coefficient Ki and differential coefficient Kd；
The workflow of the control circuit with microcontroller as control core is comprised the following steps：
1) preset value first according to system is initialized to the relevant parameter of system, including the output of initialization system is electric
Pressure value, and mode of operation and running parameter of the configuration including the related peripherals including timer, A/D modular converters, interruption,
Wherein timer 1 is used for pulse width modulation generation module, for controlling opening for two metal-oxide-semiconductors in Buck buck topology circuits
Close, timer 2 causes output voltage stabilization institute using when interrupting and being changed with precise acquisition voltage after PID control is adjusted
The time of consumption, configuration A/D modular converters work in DMA mode, configure the interruption of timer 1, are adjusted using pid control module
Dutycycle is with controlled output voltage；
2) including the parameter initialization of multi-objective optimization algorithm module, the related ginseng that setting multi-objective optimization algorithm is performed
Number, including：Maximum N, population iterative algebra count value i, the kind of individual amount in population iterations max I, every generation population
Become between coded system, the probability, the individuality that intersect between group's individual amount count value n, every generation individual code length, individuality
Different probability, and it is 0 to set the initial value of population iterative algebra count value i and population at individual number count value n；
3) gene of n-th individuality in the i-th generation population, the pid control module corresponding to it is obtained by decoding
Parameter value, i.e. respectively Proportional coefficient K p, integral coefficient Ki and differential coefficient Kd, use in multi-objective optimization algorithm module
It is binary coding mode, described coding is a string of binary digits, and this numeral is converted into the decimal system after over-segmentation
Parameter logistic COEFFICIENT K p, the integral coefficient Ki and differential coefficient Kd of representative value, as PID control, obtain above-mentioned parameter it
Afterwards, pid control module is configured so as to change the control performance of control module using parameter；
4) after the parameter setting of pid control module, by pid control module regulation switch power supply system control parameter simultaneously
So that the output voltage stabilization of system, and start timer module and A/D modular converters simultaneously, treat that system output voltage stablizes it
Afterwards, the overshoot and system output voltage of system output voltage during regulation just can be collected to change to system
The regulating time that output voltage stabilization is consumed；
5) multi-objective optimization algorithm module calculates each according to the stabilization time that the data of collection are overshoot and system
Individual ranking Rank；
6) judge whether the individuality is that last is individual in the generation population, if not add one by the value of n, and return to the 3)
Step is performed, if then performing next step；
If 7) multi-objective Algorithm module judges whether system practice condition meets system closure condition and otherwise perform next step,
Otherwise perform the 12) step；
8) population P is operated using evolution algorithm, obtains new population R；
9) union P ∪ R are taken by mathematical operations and obtains new population Nest, using quick non-after the new father population of generation
Dominated Sorting algorithm is ranked up to population, that is, assume that population is P, then the algorithm needs to calculate two ginsengs of each individual p in P
Number npAnd Sp, wherein npTo arrange the number of individuals of individuality p, S in populationpIt is the individual collections arranged by individual p in population；Traversal
Whole population, total computation complexity of the two parameters is O (mN2)；The step of algorithm, finds all n in population for (1)p=0
Individuality, and it is stored in current collection F1, among；(2) for current collection F1In each individual i, its individual collections arranged
It is Si, travel through SiIn each individual l, perform nl=nl- 1, if nl=0 is stored in set H individual l；(3) F is remembered1In
The individuality for obtaining is first individuality of non-dominant layer, and using H as current collection, repeats aforesaid operations, until whole population
It is graded；
10) individuality in population is carried out after quick non-dominated ranking, just proceeds by the meter of each individual crowding
Calculate, crowding refers to given individual surrounding's population density in population, is intuitively expressed as individuality, and surrounding only includes individuality,
The algorithm of crowding is as follows：(1) n is maded=0, n=1,2 ..., N；(2) for each object function, it is primarily based on the target letter
It is several that population is ranked up, then make two crowdings of individuality on border for infinite, i.e., 1d=Nd=∞, calculates nd=nd+(fm
(i+1)-fm), (i-1) n=2,3 ..., N-1；
11) after being calculated by quick dominated Sorting and crowding, each individual n obtains two attributes in population, point
It is not non-dominated ranking nrankWith crowding nd, using the two attributes, distinguish the domination of any two individuality in population and non-branch
With relation, individual good and bad comparing according to for i >=nJ, i.e. individuality i are better than individuality j, and if only if irank<jrankOr irank=jrank
And id>jd, by above-mentioned computing after, redirect the 3) step perform；
12) parameter of the solution ranked the first in population is decoded, and is applied to the pid control module in system, and controlled
Switch power supply system.
Upon power-up of the system, multi-objective optimization algorithm module carries out relevant parameter initialization, while setting microcontroller
Related peripherals parameter includes timer, A/D modular converters, and then system initializes pid control module, PID using initial parameter
Control module regulation switch power supply system causes output voltage stabilization, is then based on the multi-objective optimization algorithm mould of non-dominated ranking
BOB(beginning of block) is worked, and initializes generation population P, and the ginseng of pid control module is obtained by the coding for decoding each individuality in population
Number, and pid control module is applied to, then it is engaged with A/D modular converters using timer and obtains system dynamic response process
In overshoot and regulating time, it is and optimal to find out as quick non-dominated ranking algorithm and crowding computational algorithm
Individuality, by the quick non-dominated ranking and crowding computational algorithm in multiple-objection optimization module draw it is optimal it is individual simultaneously
Its parameter is decoded so as to be applied to pid control module, its dynamic response performance is included that overshoot and stabilization time reach
To optimal performance.
Advantages of the present invention and remarkable result：
1st, using the multi-objective optimization algorithm based on non-dominated ranking, at the same optimize pid control module three parameters with
Reach minimum overshoot and the shortest stabilizing time.
2nd, stable duty ratio output voltage is adjusted using pid control module, sensitivity is high, output voltage stabilization.
3rd, circuit is simple, without the complex control of application specific integrated circuit, low cost, good reliability.
Brief description of the drawings
Fig. 1 is overall structure block diagram of the present invention；
Fig. 2 is present system schematic diagram；
Fig. 3 is control program flow chart of the present invention.
Specific embodiment
Technical scheme is described in detail below in conjunction with the accompanying drawings.
As shown in Figure 1, 2, a kind of Switching Power Supply control method of dynamic response optimization, it is characterised in that excellent using multiple target
Change algorithm to the pid control module of switch power supply system to optimize the dynamic response performance of system, including prime Buck step-downs are opened up
Circuit is flutterred, rear class determines frequency LLC pressure regulation topological circuits, output voltage sampling circuit and its amplifier isolation circuit.And with micro-
The control system that controller is constituted for the control circuit of core.The output voltage that output sampling circuit samples rear class determines frequency LLC is right
Afterwards by Amplification and insulation circuit output to the control circuit with microcontroller as core, the control circuit with microcontroller as core
Output signal controls the switching tube M of prime Buck buck topology circuits1、M3With the switching tube that rear class determines frequency LLC pressure regulation topological circuits
M2、M4、M5、M6。
Output voltage sampling circuit is sampled by load resistance R1, the R2 partial pressure that rear class determines frequency LLC pressure regulation topological circuits, electricity
The connection end of resistance R1, R2 is output voltage sampled output, the other end connection output ground terminal of resistance R2.
Amplifier isolation circuit is operational amplifier, wherein, operational amplifier k1 correspondence output voltage sampling circuits, fortune
Calculate the negative terminal connection output voltage sampled output of amplifier k1, the anode connection output ground terminal of operational amplifier k1.
Microcontroller includes AD conversion module, pid control module, timer module, many for the control circuit of control core
There is module in objective optimization algoritic module and pulse width modulation, the input signal of AD conversion module is operational amplifier k1's
Output signal, AD conversion module exports the output voltage values after conversion to timer module and pid control module respectively.PID
The duty cycle signals control prime Buck buck topologies circuit and rear class of control module output determine frequency LLC pressure regulation topological circuits
Switching tube.Multi-objective optimization algorithm module optimizes parameter logistic COEFFICIENT K p, the integral coefficient Ki and differential coefficient of pid control module
Kd。
Referring to Fig. 3, microcontroller includes step for the workflow of the control circuit of control core：
1. the preset value first according to system is initialized to the relevant parameter of system, including the output of initialization system is electric
The mode of operation and running parameter of the related peripherals such as pressure value, and configuration timer, A/D modular converters, interruption.Wherein timing
Device 1 is used by pulse width modulation generation module, for controlling the metal-oxide-semiconductor M in Buck buck topology circuits1,M3Switch, it is fixed
When device 2 using interrupt changed with precise acquisition voltage when by PID control regulation after so that output voltage stabilization is consumed
Time, configuration A/D modular converters are worked in DMA mode, configure the interruption of timer 1 and accounted for using pid control module regulation
Empty ratio is with controlled output voltage.
2. the relevant parameter that the parameter initialization of multi-objective optimization algorithm module, including set algorithm is performed is such as：Population changes
The maximum N of individual amount, population iterative algebra count value i, population at individual quantity are counted in for maximum I, per generation population
The probability morphed between coded system, the probability for intersecting, individuality between value n, the code length individual per a generation, individuality, and set
The initial value for determining population iterative algebra count value i and population at individual number count value n is 0.
3. the gene of n-th individuality in the i-th generation population, the pid control module corresponding to it is obtained by decoding
Parameter value is respectively Proportional coefficient K p, integral coefficient Ki and differential coefficient Kd, is used in this multi-objective optimization algorithm module
Be binary coding mode, described coding is a string of binary digits, and this numeral is converted into ten after over-segmentation enters
The representative value of system is parameter logistic COEFFICIENT K p, integral coefficient Ki and the differential coefficient Kd of PID control.Obtain above-mentioned parameter it
Afterwards, pid control module is configured so as to change the control performance of control module using parameter.
After the parameter setting of 4.PID control modules, by the control parameter and so that system of pid control module regulating system
Output voltage stabilization, and simultaneously start timer module and A/D modular converters, treat system output voltage stabilization after, just may be used
The overshoot and system output voltage of system output voltage during regulation is collected to change to system output electricity
The consumed regulating time of pressure stabilization.
5. multi-objective optimization algorithm module calculates each according to the stabilization time that the data of collection are overshoot and system
Individual ranking Rank.
6. judge whether the individuality is last individuality in the generation population, if not adding one by the value of n, and return to the 3rd
Step is performed, if then performing next step；
If 7. multi-objective Algorithm module judges whether system practice condition meets system closure condition and otherwise perform next step,
Otherwise perform the 12nd step.
8. population P is operated using evolution algorithm, obtain new population R.
9. take union P ∪ R by mathematical operations and obtain new population Nest, using quick non-after the new father population of generation
Dominated Sorting algorithm is ranked up to population.Assume that population is P, then the algorithm needs to calculate two ginsengs of each individual p in P
Number npAnd Sp, wherein npTo arrange the number of individuals of individuality p, S in populationpIt is the individual collections arranged by individual p in population.Traversal
Whole population, total computation complexity of the two parameters is O (mN2).Algorithm is mainly comprised the following steps：
(1) all n in population are foundp=0 individuality, and it is stored in current collection F1, among.
(2) for current collection F1In each individual i, the individual collections that it is arranged be Si, travel through SiIn per each and every one
Body l, performs nl=nl- 1, if nl=0 is stored in set H individual l；
(3) F is remembered1In the individuality that obtains be first individuality of non-dominant layer, and using H as current collection, repeat above-mentioned
Operation, until whole population is graded.
10. after the individuality in pair population carries out quick non-dominated ranking, the meter of each individual crowding is just proceeded by
Calculation, crowding refers to given individual surrounding's population density in population, is intuitively represented by individuality, and surrounding is only comprising individual
Body.The algorithm of crowding is as described below,
(1) n is maded=0, n=1,2 ..., N
(2) for each object function, it is primarily based on the object function and population is ranked up, then makes two of border
Individual crowding be it is infinite, i.e., 1d=Nd=∞, calculates nd=nd+(fm(i+1)-fm), (i-1) n=2,3 ..., N-1
After 11. are calculated by quick dominated Sorting and crowding, each individual n obtains two attributes in population, point
It is not non-dominated ranking nrankWith crowding nd.Using the two attributes, the domination of any two individuality in population just can be distinguished
With non-dominant relation.Individual good and bad comparing according to for i >=nJ, i.e. individuality i are better than individuality j, and if only if irank<jrankOr
irank=jrankAnd id>jd.After by above-mentioned computing, the execution of the 3rd step is redirected.
12. decode the parameter of the solution ranked the first in population, and are applied to the pid control module in system, and control
Switch power supply system.
The course of work of control system of the present invention is as follows：Upon power-up of the system, multi-objective optimization algorithm module carries out correlation
Parameter initialization, while setting the related peripherals parameter such as timer of microcontroller, A/D modular converters etc..Then system is using just
Beginning parameter initialization pid control module, pid control module regulation switch power supply system causes output voltage stabilization.It is then based on
The multi-objective optimization algorithm module of non-dominated ranking is started working, and initializes generation population P, by decoding in population per each and every one
The coding of body obtains the parameter of pid control module, and is applied to pid control module.Then using timer and A/D modular converters
Be engaged the overshoot and regulating time for obtaining during system dynamic response, and as quick non-dominated ranking algorithm with
And crowding computational algorithm finds out optimal individuality.By the quick non-dominated ranking in multiple-objection optimization module and crowded
Spend computational algorithm to draw optimal individuality and decode its parameter so as to be applied to pid control module, make its dynamic response performance
Performance is optimal including overshoot and stabilization time.
Claims (2)
1. the Switching Power Supply control method that a kind of dynamic response optimizes, it is characterised in that：Based on including prime Buck buck topologies
Circuit, rear class determines frequency LLC regulating circuits, input voltage sample circuit, amplifier isolation circuit and with microcontroller be control
The control system that the control circuit of core processed is constituted, output voltage sampling circuit sampling rear class determines the output voltage of frequency LLC, then
It is the control circuit of control core, the control with microcontroller as core to be exported to microcontroller by amplifier isolation circuit
The output signal of circuit controls two switching tubes and rear class in prime Buck buck topology circuits to determine frequency LLC pressure regulation topology respectively
Four switching tubes in circuit, wherein：
Output voltage sampling circuit determines the load resistance R of frequency LLC pressure regulation topological circuits by rear class1,R2Partial pressure is sampled, resistance R1
One end connection rear class determine frequency LLC pressure regulation topological circuits, resistance R1Other end connection resistance R2One end and adopted as voltage
Sample output end, resistance R2The other end connection output ground terminal；
Amplifier isolation circuit is operational amplifier k1, operational amplifier k1Negative terminal connection voltage sample output end, computing puts
Big device k1Anode connection output ground terminal；
Relevant dynamic response effect during the system fading margin that microcontroller is obtained for the control circuit of control core for sampling
Factor of evaluation, including the overshoot during regulation and the stabilization time of system output voltage, according to overshoot and be
The stabilization time of system output voltage, the performance of pid control module is assessed, and final iteration obtains enabling to pid control module
Control process in overshoot and the parameter that is optimal of stabilization time so that the dynamic response effect of system reaches
It is optimal；Including AD conversion module, pid control module, timer module, multi-objective optimization algorithm module and pulse width modulation
Generation module, the input signal of AD conversion module is operational amplifier k1Output signal, AD conversion module by conversion after it is defeated
Go out magnitude of voltage to export respectively to timer module and pid control module, timer module receives output voltage values, and electric with setting
Pressure value exports overshoot and gives multi-objective optimization algorithm module, the dutycycle letter of pid control module output with stabilization time more afterwards
Number control prime Buck buck topologies circuit and rear class determine the switching tube of frequency LLC pressure regulation topological circuits, multi-objective optimization algorithm
Module optimizes the parameter of pid control module, including Proportional coefficient K p, integral coefficient Ki and differential coefficient Kd；
The workflow of the control circuit with microcontroller as control core is comprised the following steps：
1) preset value first according to system is initialized to the relevant parameter of system, including initialization system output voltage
Value, and mode of operation and running parameter of the configuration including the related peripherals including timer, A/D modular converters, interruption, its
Middle timer 1 is used for pulse width modulation generation module, for controlling opening for two metal-oxide-semiconductors in Buck buck topology circuits
Close, timer 2 causes output voltage stabilization institute using when interrupting and being changed with precise acquisition voltage after PID control is adjusted
The time of consumption, configuration A/D modular converters work in DMA mode, configure the interruption of timer 1, are adjusted using pid control module
Dutycycle is with controlled output voltage；
2) including the parameter initialization of multi-objective optimization algorithm module, the relevant parameter that setting multi-objective optimization algorithm is performed, bag
Include：Maximum N, population iterative algebra count value i, the population at individual of individual amount in population iterations max I, every generation population
That is morphed between coded system, the probability for intersecting, individuality between number count value n, the code length individual per a generation, individuality is general
Rate, and it is 0 to set the initial value of population iterative algebra count value i and population at individual number count value n；
3) gene of n-th individuality in the i-th generation population, the pid control module parameter corresponding to it is obtained by decoding
Value, i.e. respectively Proportional coefficient K p, integral coefficient Ki and differential coefficient Kd, two are used in multi-objective optimization algorithm module
Scale coding mode, described coding is a string of binary digits, and this numeral is converted into decimal system institute's generation after over-segmentation
The parameter of the value of table, as PID control：Proportional coefficient K p, integral coefficient Ki and differential coefficient Kd, using above three parameter pair
Pid control module is configured so as to change the control performance of control module；
4) after the parameter setting of pid control module, the control parameter of switch power supply system is adjusted by pid control module and is caused
The output voltage stabilization of system, and start timer module and A/D modular converters simultaneously, after treating that system output voltage is stable,
Just the overshoot and system output voltage of system output voltage during regulation is collected to change to system output
The regulating time that voltage stabilization is consumed；
5) multi-objective optimization algorithm module according to the data of collection be overshoot and system stabilization time it is individual to calculate each
Ranking Rank；
6) judge whether the individuality is that last is individual in the generation population, if not add one by the value of n, and return the 3) step hold
OK, if then performing next step；
If 7) multi-objective Algorithm module judges whether system practice condition meets system closure condition and otherwise perform next step, otherwise
Perform the 12) step；
8) population P is operated using evolution algorithm, obtains new population R；
9) union P ∪ R are taken by mathematical operations and obtains new population Nest, quick non-dominant is utilized after the new father population of generation
Sort algorithm is ranked up to population, that is, assume that population is P, then the algorithm needs to calculate two parameter n of each individual p in Pp
And Sp, wherein npTo arrange the number of individuals of individuality p, S in populationpIt is the individual collections arranged by individual p in population；Traversal is whole
Population, total computation complexity of the two parameters is O (mN2)；The step of algorithm, finds all n in population for (1)p=0
Body, and it is stored in current collection F1, among；(2) for current collection F1In each individual i, its individual collections arranged is
Si, travel through SiIn each individual l, perform nl=nl- 1, if nl=0 is stored in set H individual l；(3) F is remembered1In
To individuality be the individuality of first non-dominant layer, and using H as current collection, aforesaid operations are repeated, until whole population quilt
Classification；
10) individuality in population is carried out after quick non-dominated ranking, just proceeds by the calculating of each individual crowding, gathered around
Crowded degree refers to given individual surrounding's population density in population, is intuitively expressed as individuality, and surrounding is only comprising individuality, crowding
Algorithm it is as follows：
(1) n is maded=0, n=1,2 ..., N；
(2) for each object function, it is primarily based on the object function and population is ranked up, then makes two individualities on border
Crowding for infinite, i.e., 1d=Nd=∞, calculates nd=nd+(fm(i+1)-fm), (i-1) n=2,3 ..., N-1；
11) after being calculated by quick dominated Sorting and crowding, each individual n obtains two attributes in population, is respectively
Non-dominated ranking nrankWith crowding nd, using the two attributes, the domination and non-dominant for distinguishing any two individuality in population are closed
System, individual good and bad comparing according to for i >=nJ, i.e. individuality i are better than individuality j, and if only if irank<jrankOr irank=jrankAnd id
>jd, by above-mentioned computing after, redirect the 3) step perform；
12) parameter of the solution ranked the first in population is decoded, and is applied to the pid control module in system, and controlling switch
Power-supply system.
2. the Switching Power Supply control method that dynamic response according to claim 1 optimizes, it is characterised in that：When system starts
When, multi-objective optimization algorithm module carries out relevant parameter initialization, while the related peripherals parameter for setting microcontroller includes determining
When device, A/D modular converters, then system using initial parameter initialize pid control module, pid control module regulation switch electricity
Origin system causes output voltage stabilization, and the multi-objective optimization algorithm module for being then based on non-dominated ranking is started working, and initially
Change and produce population P, the parameter of pid control module is obtained by the coding for decoding each individuality in population, and be applied to PID control
Module, is then engaged with A/D modular converters using timer and obtains the overshoot during system dynamic response and regulation
Time, and optimal individuality is found out as quick non-dominated ranking algorithm and crowding computational algorithm, by multiple target
Quick non-dominated ranking and crowding computational algorithm in optimization module draw optimal individuality and decode its parameter so as to answer
For pid control module, its dynamic response performance is set to include that overshoot and stabilization time are optimal performance.
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