CN113945786A - Automatic optimization device and optimization method for conducted disturbance parameters - Google Patents
Automatic optimization device and optimization method for conducted disturbance parameters Download PDFInfo
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Abstract
The invention discloses an automatic optimization device for conducted disturbance parameters, which comprises a controller, a power input end and a power output end, wherein a differential mode inductor, a first group of X capacitors, a first group of common mode inductors, a first group of Y capacitors, a second group of X capacitors, a second group of common mode inductors and a second group of Y capacitors are sequentially connected between the power input end and the power output end, device switching MUX matrix selectors are respectively connected to the first group of X capacitors, the first group of common mode inductors, the first group of Y capacitors, the second group of X capacitors, the second group of common mode inductors and the second group of Y capacitors, each device switching MUX matrix selector is connected with the output end of the controller, all the device switching MUX matrix selectors are also electrically connected with the controller through an ADC data acquisition module, and the controller is also connected with a PC upper computer through a USB interface. The invention also discloses an automatic optimization method of the conducted disturbance parameters. The invention improves the rectification efficiency.
Description
Technical Field
The invention relates to the technical field of conducted disturbance, in particular to an automatic optimization device and an optimization method for conducted disturbance parameters.
Background
With the development of intelligent electrification, in the subdivision industry of the electronic industry, the electromagnetic compatibility industry is coming to increase at a high speed, for example: the method has great growth potential in the aspects of testing and modifying military electromagnetic compatibility products and civil electromagnetic compatibility products. Electronic compatibility technology in China starts late, but professional technical requirements of the industry are increasingly strict, for example, part 1-2 of medical electrical equipment is published by the national food and drug administration in 2012: safety general requirements parallel standards: electromagnetic compatibility requirements and tests stipulate that part of medical electrical equipment needs to meet electromagnetic compatibility standards, and substandard products are forbidden to be put on the market.
Conducted disturbance, one of the most common electromagnetic compatibility testing techniques, refers to an electromagnetic phenomenon in which voltage or current inside an electronic or electrical device or system is transmitted through a signal line, a power line or a ground line and becomes an interference source of other electronic or electrical devices or systems. Almost all products with power lines involve conducted emission testing. However, the conduction test exceeds the standard for a plurality of reasons, and the internal structure design, the grounding design and the selection of some key components of the prototype can directly influence the conduction test result. Therefore, in actual work, many manufacturers find that the conducting test is out of standard.
In the electromagnetic compatibility EMI conducted disturbance test item, when the conducted disturbance test item is unqualified, the reason of the conducted disturbance needs to be analyzed, and technical modification of each parameter needs to be carried out on the circuit. The conventional disturbance conduction rectification method is to continuously and manually adjust parameters of a power supply filter circuit, then to perform repeated comparison tests on disturbance conduction performance, and then to select optimal parameters. Generally speaking, the time for conducting harassment rectification is at least 2-3 days, the industry test cost is 1000 yuan/item, and the rectification test is billed for ten thousand in advance; the existing manual parameter adjustment means has the defects of low adjustment efficiency, long debugging time, high testing cost, incapability of finding an optimal parameter solution and the like. In summary, the conventional disturbance-conducted rectification means is to continuously and manually adjust parameters of the power filter circuit, such as an X capacitor, a Y capacitor, a common mode inductor, and the like, and then perform a repeated comparison test of disturbance-conducted performance, and the means adopting manual parameter adjustment has the disadvantages of low rectification efficiency, long debugging time, high testing cost, incapability of finding an optimal parameter solution, and the like, so that improvement is needed.
Disclosure of Invention
The invention aims to provide an automatic optimization device and an optimization method for conducted disturbance parameters, which are used for solving the problems that the conducted disturbance rectification means adopting manual parameter adjustment in the background art is low in rectification efficiency, long in debugging time, high in testing cost and incapable of finding an optimal parameter solution.
In order to achieve the purpose, the invention provides the following technical scheme: the automatic optimization device for conducted disturbance parameters comprises a controller, a power input end and a power output end, wherein the power input end is connected with an ACV (alternating current) mains supply, the power output end is connected with a differential mode inductor, a first group of X capacitors, a first group of common mode inductors, a first group of Y capacitors, a second group of X capacitors, a second group of common mode inductors and a second group of Y capacitors in sequence, the first group of X capacitors, the first group of common mode inductors, the first group of Y capacitors, the second group of X capacitors, the second group of common mode inductors and the second group of Y capacitors are respectively connected with device switching MUX (multiplexer) matrix selectors, each device switching MUX matrix selector is connected with the output end of the controller, all device switching MUX matrix selectors are further electrically connected with the controller through an ADC (analog to digital converter) data acquisition module, the controller is further connected with a PC (personal computer) through a USB (universal serial bus) interface, and input power sequentially flows through the differential mode inductors, After the first group of X capacitors, the first group of common mode inductors, the first group of Y capacitors, the second group of X capacitors, the second group of common mode inductors and the second group of Y capacitors, the controller controls the device to switch the MUX matrix selector to combine different parameters, meanwhile, the controller can continuously acquire the power supply and ripple noise at the output end of the power supply through the ADC data acquisition module and through a data processing algorithm arranged in the controller, comparing the quality of the input and output power supplies with different combinations and the magnitude of the ripple noise with the pre-stored data information, selecting the output power supply quality and the magnitude of the ripple noise which most meet the requirements, and finally, determining the optimal parameter values of the differential mode inductor, the first group of X capacitors, the first group of common mode inductors, the first group of Y capacitors, the second group of X capacitors, the second group of common mode inductors and the second group of Y capacitors output by the USB interface to the upper computer, so as to carry out the automatic optimization process of the conducted disturbance parameters.
Preferably, the value range of the differential mode inductance is 10mH, 30mH, 70mH and 100 mH; the value range of the first group of X capacitors is 0.47uF, 1uF, 2uF and 4.7 uF; the value range of the first group of Y capacitors is 2.2nF and 4.7 nF; the value range of the first group of common mode inductors is 50mH, 30mH, 12mH and 8 mH; the value range of the second group of X capacitors is 0.1uF and 0.47 uF; the value range of the second group of common mode inductors is 1.2mH, 2mH and 4.7 mH; the value range of the second group Y capacitor is 1nF and 2.2 nF.
The invention also discloses an automatic optimization method of the conducted disturbance parameters, which specifically comprises the following steps:
s1, firstly, selecting a plurality of resistance values for each component of a differential mode inductor, a first group of X capacitors, a first group of common mode inductors, a first group of Y capacitors, a second group of X capacitors, a second group of common mode inductors and a second group of Y capacitors in advance, connecting the resistance values in parallel to form a differential mode inductor group, a first group of X capacitor group, a first group of common mode inductor group, a first group of Y capacitors group, a second group of X capacitors group, a second group of common mode inductors group and a second group of Y capacitors, and then connecting a plurality of switching ends of each device switching MUX matrix selector with connecting ends of different resistance values under the same component group;
s2, starting a power supply device, wherein when AC220V commercial power is input, a power supply sequentially flows through a differential mode inductor, a first group of X capacitors, a first group of common mode inductors, a first group of Y capacitors, a second group of X capacitors, a second group of common mode inductors and a second group of Y capacitors;
s3, switching the MUX matrix selector by the controller control device to combine different parameters;
s4, the controller continuously collects power supply and ripple noise at the power supply output end through the ADC data collection module, and compares the quality of the input and output power supply and the ripple noise of different combinations with the pre-stored data information through a data processing algorithm built in the controller;
and S5, selecting the output power quality and the ripple noise which most meet the requirements, and finally determining the optimal parameter values of the differential mode inductance, the first group of X capacitors, the first group of common mode inductances, the first group of Y capacitors, the second group of X capacitors, the second group of common mode inductances and the second group of Y capacitors which are output to the PC upper computer (14) by the USB interface, so as to carry out the automatic optimization process of the conducted disturbance parameters.
Compared with the prior art, the invention has the following beneficial effects: the invention can find the proper matching parameters of the filter circuit by measuring the time domain waveforms of the input and output power supplies in real time, greatly improve the rectification efficiency, shorten the debugging time of the conducted disturbance parameters, and find the optimal parameter combination of the conducted disturbance filter circuit by an automatic measurement mode.
Drawings
FIG. 1 is a schematic block diagram of an automatic optimization apparatus for conducted disturbance parameters in embodiment 1;
fig. 2 is a reference diagram of a principle of a local circuit when a device in the automatic optimization apparatus for conducted disturbance parameters switches a MUX matrix selector and a component device with each resistance value in embodiment 1.
In the figure: the device comprises a controller 1, a power input end 2, a power output end 3, a differential mode inductor 4, a first group of X capacitors 5, a first group of common mode inductors 6, a first group of Y capacitors 7, a second group of X capacitors 8, a second group of common mode inductors 9, a second group of Y capacitors 10, a device switching MUX matrix selector 11, an ADC data acquisition module 12, a USB interface 13 and a PC upper computer 14.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Example (b):
referring to fig. 1-2, an embodiment of the present invention is shown: an automatic optimization device for conducted disturbance parameters comprises a controller 1, a power input end 2 and a power output end 3 which are connected with AC220V commercial power, wherein a differential mode inductor 4, a first group of X capacitors 5, a first group of common mode inductors 6, a first group of Y capacitors 7, a second group of X capacitors 8, a second group of common mode inductors 9 and a second group of Y capacitors 10 are sequentially connected between the power input end 2 and the power output end 3, device switching MUX matrix selectors 11 are respectively connected on the first group of X capacitors 5, the first group of common mode inductors 6, the first group of Y capacitors 7, the second group of X capacitors 8, the second group of common mode inductors 9 and the second group of Y capacitors 10, each device switching MUX matrix selector 11 is connected with the output end 3 of the controller 1, all the device switching MUX matrix selectors 11 are also electrically connected with the controller 1 through an ADC data acquisition module 12, and the controller 1 is also connected with a PC upper computer 14 through a USB interface 13, so that after an input power supply sequentially flows through the differential mode inductor 4, the first group of X capacitors 5, the first group of common mode inductors 6, the first group of Y capacitors 7, the second group of X capacitors 8, the second group of common mode inductors 9 and the second group of Y capacitors 10, the controller 1 controls a device to switch the MUX matrix selector 11 to combine different parameters, meanwhile, the controller 1 continuously collects the power supply and ripple noise of the power output end 3 through the ADC data collection module 12, and after calculation and analysis are carried out through a data processing algorithm arranged in the controller 1, the input and output power supply quality and the ripple noise of different combinations are compared with pre-stored data information, the output power supply quality and the ripple noise which meet the requirements most are selected, and finally the USB interface 13 is determined to output the differential mode inductor 4, the second group of the differential mode inductors 4 to the upper computer, And the optimal parameter values of the first group of X capacitors 5, the first group of common mode inductors 6, the first group of Y capacitors 7, the second group of X capacitors 8, the second group of common mode inductors 9 and the second group of Y capacitors 10 are used for carrying out the automatic optimization process of the conducted disturbance parameters.
Further, the value range of the differential mode inductor 4 is 10mH, 30mH, 70mH and 100 mH; the value range of the first group of X capacitors 5 is 0.47uF, 1uF, 2uF and 4.7 uF; the value range of the first group of Y capacitors 7 is 2.2nF and 4.7 nF; the value ranges of the first group of common mode inductors 6 are 50mH, 30mH, 12mH and 8 mH; the value range of the second group of X capacitors 8 is 0.1uF and 0.47 uF; the value range of the second group of common mode inductors 9 is 1.2mH, 2mH and 4.7 mH; the value range of the second group of Y capacitors 10 is 1nF and 2.2nF, and in this embodiment, because the above described various components are limited by multiple factors such as the device type, the noise frequency band to be processed, and the like, and all are inductors and capacitors with fixed parameters, the present invention adopts the above parameter requirements in order to meet the design requirements according to the conventional design parameter requirements of the components and the component list provided by the manufacturer.
The embodiment also discloses an automatic optimization method of the conducted disturbance parameters, which specifically comprises the following steps:
s1, selecting a plurality of resistance values for each component of the differential mode inductor 4, the first group of X capacitors 5, the first group of common mode inductors 6, the first group of Y capacitors 7, the second group of X capacitors 8, the second group of common mode inductors 9, and the second group of Y capacitors 10 in advance, and connecting them in parallel to form a differential mode inductor group, a first group of X capacitors, a first group of common mode inductors, a first group of Y capacitors, a second group of X capacitors, a second group of common mode inductors, and a second group of Y capacitors, and then connecting a plurality of switching terminals of each device switching MUX matrix selector 11 to connecting terminals of different resistance values of the same component group;
s2, starting a power supply device, wherein when AC220V commercial power is input, a power supply sequentially flows through a differential mode inductor 4, a first group of X capacitors 5, a first group of common mode inductors 6, a first group of Y capacitors 7, a second group of X capacitors 8, a second group of common mode inductors 9 and a second group of Y capacitors 10;
s3, the controller 1 controls the device to switch the MUX matrix selector 11 to combine different parameters;
s4, the controller 1 continuously collects the power and ripple noise at the power output end 3 through the ADC data collection module 12, and compares the quality of the input and output power and the magnitude of the ripple noise with pre-stored data information through a data processing algorithm built in the controller 1;
and S5, selecting the output power supply quality and the ripple noise which most meet the requirements, and finally determining the optimal parameter values of the differential mode inductor 4, the first group of X capacitors 5, the first group of common mode inductors 6, the first group of Y capacitors 7, the second group of X capacitors 8, the second group of common mode inductors 9 and the second group of Y capacitors 10 which are output to the PC upper computer 4 by the USB interface 13, so as to perform the automatic optimization process of the conducted disturbance parameters.
In step S2, the combination of different parameters performed by the device switching MUX matrix selector 11 includes a differential mode inductor, a first group of X capacitors, a first group of common mode inductors, a first group of Y capacitors, a second group of X capacitors, a second group of common mode inductors, and a second group of Y capacitors, because each group of devices has several fixed parameter devices, i.e., a plurality of different resistance values are rotated in advance, different groups of devices are arranged and combined, and when combined, one device in each group including the differential mode inductor, the first group of X capacitors, the first group of common mode inductors, the first group of Y capacitors, the second group of X capacitors, the second group of common mode inductors, and the second group of Y capacitors is referred to as 1 combination, which is simply: for example, the value range of the differential mode inductance in this embodiment is 10mH, 30mH, 70mH, and 100 mH; the value range of the first group of X capacitors is 0.47uF, 1uF, 2uF and 4.7 uF; the value range of the first group of Y capacitors is 2.2nF and 4.7 nF; the value range of the first group of common mode inductors is 50mH, 30mH, 12mH and 8 mH; the value range of the second group of X capacitors is 0.1uF and 0.47 uF; the value range of the second group of common mode inductors is 1.2mH, 2mH and 4.7 mH; the value range of the second group Y capacitor is 1nF, 2.2nF, (as shown in fig. 2, since the second group Y capacitor is composed of two capacitors, each capacitor corresponds to two values, 4 capacitors with different resistance values are needed to be considered when the second group Y capacitor is connected with the device switching MUX matrix selector 11), therefore, assuming that the device switching MUX matrix selector 11 connected with the differential mode inductor switches to the differential mode inductor of 10mH, the device switching MUX matrix selector 11 connected with the first group X capacitor switches to the first group X capacitor of 0.47uF, the device switching MUX matrix selector 11 connected with the first group Y capacitor switches to the first group Y capacitor of 2.2nF, the device switching MUX matrix selector 11 connected with the first group common mode inductor switches to the common mode inductor of 50mH, and the device switching MUX selector 11 connected with the second group Y capacitor switches to the second group Y capacitor of 1nF, this is a set of combinations, and reference is made to this as a way of dealing with multiple combinations.
And the algorithm in the step S4 is designed and considered from the dimension of data acquisition, processing, storage and comparison according to the requirement of conducted disturbance parameter optimization on the basis of the conventional adaptive weighting and digital filtering algorithm, and the main operation logic of the algorithm is as follows: the ADC data acquisition module acquires power and ripple noise at the output terminal, stores the acquired power voltage value and ripple noise by the existing adaptive weighting and digital filtering method, then continuously switches the combination mode of each component by the controller, continuously acquires the value of the power voltage and ripple noise at the output terminal of each combination mode, compares the value with the value (as a reference value, i.e., a threshold) processed by the adaptive weighting and digital filtering method, and finally finds the most suitable parameter combination value of the component. The optimal parameters involved in this embodiment are determined according to the requirements of actual disturbance noise transmission control and the parameter requirements of data acquisition and control logic configured according to the test standard, and how to consider the final combined value as the optimal parameter belongs to the conventional technology in the art, so detailed description is not provided.
The technical scheme provided by the invention can find the appropriate matching parameters of the filter circuit by measuring the time domain waveforms of the input and output power supplies in real time, greatly improve the rectification efficiency, shorten the debugging time of the conducted disturbance parameters, find the optimal parameter combination of the conducted disturbance filter circuit by an automatic measurement mode, realize the self-adaptive optimization and adjustment of the conducted disturbance parameters, reduce the rectification time from the original 2-3 days to half an hour, greatly improve the rectification efficiency, avoid repeated testing, save the testing cost, and realize the optimal combination of the parameters of each device, so that the performance index of the conducted disturbance is optimal.
It will be evident to those skilled in the art that the invention is not limited to the details of the foregoing illustrative embodiments, and that the present invention may be embodied in other specific forms without departing from the spirit or essential attributes thereof. The present embodiments are therefore to be considered in all respects as illustrative and not restrictive, the scope of the invention being indicated by the appended claims rather than by the foregoing description, and all changes which come within the meaning and range of equivalency of the claims are therefore intended to be embraced therein. Any reference sign in a claim should not be construed as limiting the claim concerned.
Claims (3)
1. A conducted disturbance parameter automatic optimization device is characterized in that: the device switching matrix selection circuit comprises a controller (1), a power input end (2) and a power output end (3), wherein the power input end (2) is connected with an AC220V commercial power, a differential mode inductor (4), a first group of X capacitors (5), a first group of common mode inductors (6), a first group of Y capacitors (7), a second group of X capacitors (8), a second group of common mode inductors (9) and a second group of Y capacitors (10) are sequentially connected between the power input end (2) and the power output end (3), the first group of X capacitors (5), the first group of common mode inductors (6), the first group of Y capacitors (7), the second group of X capacitors (8), the second group of common mode inductors (9) and the second group of Y capacitors (10) are respectively connected with device switching matrix selectors (11), each device switching matrix selector (11) is connected with the output end (3) of the controller (1), and all the device switching matrix selectors (11) are further connected with the controller (3) through an ADC data acquisition module (12) 1) The controller (1) is electrically connected with a PC upper computer (14) through a USB interface (13), after an input power supply sequentially flows through a differential mode inductor (4), a first group of X capacitors (5), a first group of common mode inductors (6), a first group of Y capacitors (7), a second group of X capacitors (8), a second group of common mode inductors (9) and a second group of Y capacitors (10), the controller (1) controls a device to switch a MUX matrix selector (11) to combine different component parameters, meanwhile, the controller (1) continuously collects the power supply and ripple noise of a power supply output end (3) through an ADC data collection module (12), and compares the input and output power supply quality and the ripple noise of different combinations with pre-stored ripple data information after calculation and analysis through a data processing algorithm built in the controller (1) to select the output power supply quality and the ripple noise which most meet the requirements, and finally, determining the optimal parameter values of the differential mode inductor (4), the first group of X capacitors (5), the first group of common mode inductors (6), the first group of Y capacitors (7), the second group of X capacitors (8), the second group of common mode inductors (9) and the second group of Y capacitors (10) output by the USB interface (13) to the upper computer, so as to carry out the automatic optimization process of the conducted disturbance parameters.
2. The automatic optimization device of conducted disturbance parameters according to claim 1, characterized in that: the value range of the differential mode inductor (4) is 10mH, 30mH, 70mH and 100 mH; the value range of the first group of X capacitors (5) is 0.47uF, 1uF, 2uF and 4.7 uF; the value range of the first group of Y capacitors (7) is 2.2nF and 4.7 nF; the value range of the first group of common mode inductors (6) is 50mH, 30mH, 12mH and 8 mH; the value range of the second group of X capacitors (8) is 0.1uF and 0.47 uF; the value range of the second group of common mode inductors (9) is 1.2mH, 2mH and 4.7 mH; the value range of the second group Y capacitor (10) is 1nF and 2.2 nF.
3. An automatic optimization method of conducted disturbance parameters comprises the step of adopting any one of claims 1-2 to realize an automatic optimization device of conducted disturbance parameters, and is characterized by comprising the following steps:
s1, firstly giving a differential mode inductor (4), a first group of X capacitors (5), a first group of common mode inductors (6), a first group of Y capacitors (7), a second group of X capacitors (8), a second group of common mode inductors (9) and a second group of Y capacitors (10) in advance, selecting a plurality of resistance values for each component, and connecting the resistance values in parallel to form a differential mode inductor group, a first group of X capacitors, a first group of common mode inductors, a first group of Y capacitors, a second group of X capacitors, a second group of common mode inductors and a second group of Y capacitors, and then connecting a plurality of switching ends of each device switching MUX matrix selector (11) with connecting ends with different resistance values under the same component group;
s2, starting a power supply device, wherein when AC220V commercial power is input, a power supply sequentially flows through a differential mode inductor (4), a first group of X capacitors (5), a first group of common mode inductors (6), a first group of Y capacitors (7), a second group of X capacitors (8), a second group of common mode inductors (9) and a second group of Y capacitors (10);
s3, controlling the device to switch the MUX matrix selector (11) by the controller (1) to combine different parameters;
s4, the controller (1) continuously collects the power supply and ripple noise of the power supply output end (3) through the ADC data collection module (12), and compares the input and output power supply quality and the ripple noise of different combinations with the pre-stored data information through a data processing algorithm built in the controller (1);
s5, selecting the output power quality and the ripple noise which most meet the requirements, and finally determining the optimal parameter values of the differential mode inductor (4), the first group of X capacitors (5), the first group of common mode inductors (6), the first group of Y capacitors (7), the second group of X capacitors (8), the second group of common mode inductors (9) and the second group of Y capacitors (10) which are output to a PC upper computer (14) by the USB interface (13), so that the automatic optimization process of the conducted disturbance parameters is carried out.
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