CN106054856A - Nuclear power plant proportional integral controller-based noise analysis method and device - Google Patents

Abstract

The invention provides a nuclear power plant proportional integral controller-based noise analysis method and a nuclear power plant proportional integral controller-based noise analysis method device. The method includes the following steps that: a control host receives a standard value E1 and the attribute information of Alpha noises which are inputted by a user and forwards the standard value E1 and the attribute information of the Alpha noises; an Alpha noise simulator connected with the control host performs Alpha noise simulation according to the attribute information of the Alpha noises and outputs noises d; a nuclear power plant controller card board controls a nuclear power plant according to a PI regulating algorithm, the input values of the nuclear power station controller card board are E1 and E2, system response is y, and E2 is the result of the summation of the system response y and the output noises d; and the control host is also used for displaying the system response y. According to the method provided by the technical schemes of the invention, Alpha noises are simulated, and the noises act on the PI control loop of the nuclear power station controller card board, and therefore, a semi-physical simulation system can be adopted to verify the influence of the Alpha noises on the nuclear power plant controller card board.

Description

Noise analysis approach based on nuclear power station pi controller and device

Technical field

The present invention relates to nuclear power and control technical field, particularly to a kind of noise based on nuclear power station pi controller Analyze method and device.

Background technology

At communication technical field, the noise background of signal describes frequently with additive Gaussian distributed model traditionally.Actual On, this hypothesis is inaccurate.Have been found that the underwater sound signal in atmospheric noise, sonar and submarine communication and make an uproar Sound has the distribution character much like with Gaussian noise, but relatively Gaussian noise has thicker hangover.Existing it has proven convenient that this have Spiking characteristics, and the noise with thicker hangover can describe with α Stable distritation.Existing development process great majority make Carry out various experiment with actual equipment, and input signal and control algolithm are likely to result in nuclear power station controller board not improperly Reversible damage.And pure software emulation is used for theory analysis and research, lose contact with reality production, and directive significance is the most little.

HWIL simulation (HILS) is at various engineering fields, such as military project, automobile making, robotics and power electronics Deng being used.HWIL simulation is used for developing and analyzing the system of complexity.HWIL simulation includes the electricity of driver and emitter Gas emulates.These electrical analogues are the bridges between software emulation and real-world object.HILS is used for solving the cost of hardware testing too Height, algorithm is the problem of underaction.

Summary of the invention

In view of this, present invention is primarily targeted at, it is provided that a kind of noise based on nuclear power station pi controller Analyzing method and device, described method includes:

Control main frame and receive standard value E1 and the attribute information of Alpha noise that user is inputted, and forward defeated respectively Go out；

The Alpha noise simulator being connected with described control main frame is carried out according to the attribute information of described Alpha noise Alpha noise simulation, output noise d；

Nuclear power station is controlled by nuclear power station controller board according to PI regulation algorithm, and its input value is respectively E1 and E2, System response is that system response y superposes sum with described output noise d for y, described E2；

Described control main frame is additionally operable to show that described system responds y.

By upper, by simulation Alpha noise, and noise contributions is controlled in loop in the PI of nuclear power station controller board, Thus use semi-matter simulating system to verify the impact for nuclear power station controller board of the Alpha noise.

Optionally, described Alpha noise simulator utilizes LabVIEW to realize, and uses standard S α S distributed model, its feature Function meets:

$\mathrm{\ω}(t,\mathrm{\α})=\left\{\begin{array}{c}tan(\mathrm{\α}\mathrm{\π}/2),\mathrm{\α}\≠1\\ (2/\mathrm{\π}log|t\left|\right),\mathrm{\α}=1\end{array}\right.;$

$\mathrm{sgn}\left(u\right)\left\{\begin{array}{c}1,u>0\\ 0,u=0\\ -1,u<0\end{array}\right\};$

-∞ < a <+∞, 0 < α≤2 ,-1≤β≤1；

The attribute information of described Alpha noise includes: α, characterization parameter；γ, represents the coefficient of dispersion；β, represents symmetry Coefficient, a, represent position characteristic parameter.

Optionally, it is 0.6,1.2 and 1.8 to the described ascending value of characterisitic parameter α respectively.

By upper, by inputting different characterisitic parameter α values, show the pulse characteristic that Alpha noise is different, and then determine Go out the impact for the PI regulation algorithm of nuclear power station controller board of the α value.

Optionally, the transmission function of described nuclear power station controller board is:In formula, K is static gain；T For time constant；

The transmission function representation of described nuclear power station controller board isK in formula_pIncrease for ratio Benefit, T_iFor integration time constant.

Optionally, the input value of described nuclear power station controller board is also respectively E1 and E2 ', and system response is y ', described E2 ' be system response y ' and white Gaussian noise superpose sum.

By upper, by superposition white Gaussian noise, the debated knowledge and magnanimity of nuclear power station controller board PI regulation system can be strengthened, And it is little to systematic influence.Thus, it is possible to strengthen and the contrast situation superposing Alpha noise, to improve, superposition Alpha is made an uproar Sound is for the judgement precision of systematic influence.

Corresponding, the present invention provides a kind of noise analysis device based on nuclear power station pi controller, including:

Control main frame, for receiving standard value E1 and the attribute information of Alpha noise that user is inputted, and turn respectively Send out output；

Alpha noise simulator, is connected with described control main frame, for entering according to the attribute information of described Alpha noise Row Alpha noise simulation, output noise d；

Described control main frame is additionally operable to receive described noise d, and forwards output；

Nuclear power station controller board, is connected with described control main frame, for controlling nuclear power station according to PI regulation algorithm System, its input value is respectively E1 and E2, and system response is that described system response y superposes with described output noise d for y, described E2 Sum；

Described control main frame is additionally operable to show that described system responds y.

By upper, by simulation Alpha noise, and noise contributions is controlled in loop in the PI of nuclear power station controller board, Thus use semi-matter simulating system to verify the impact for nuclear power station controller board of the Alpha noise.

Optionally, described nuclear power station controller board includes being sequentially connected with: filter circuit, adapter, overpressure protection electricity Road, active filter, proportional action amplifier, integrator and output biasing.

Optionally, white Gaussian noise simulator is also included；

The white Gaussian noise that described control main frame is additionally operable to described white Gaussian noise simulator is simulated is forwarded to nuclear power Station control board；

Described nuclear power station controller board according to PI regulation algorithm nuclear power station is controlled, its input value be respectively E1 and E2 ', system response is that system response y ' superposes sum with described white Gaussian noise for y ', described E2 '；

Described control main frame is additionally operable to show that described system responds y '.

Accompanying drawing explanation

Fig. 1 is the principle schematic of noise analysis device based on nuclear power station pi controller；

Fig. 2～Fig. 4 respectively α is the oscillogram of Alpha noise when 0.6,1.2 and 1.8；

Fig. 5 is the operation principle schematic diagram of nuclear power station controller board；

Fig. 6 is the response curve of ideally nuclear power station controller board response results y；

After Fig. 7 is superposition white Gaussian noise, the response curve of nuclear power station controller board response results y；

Fig. 8～Figure 10 respectively superposition α is that the nuclear power station after the oscillogram of Alpha noise when 0.6,1.2 and 1.8 controls The response curve of device board response results y.

Detailed description of the invention

For the defect overcoming prior art to exist, the present invention provides a kind of noise based on nuclear power station pi controller Analyze method and device, use semi-matter simulating system to determine the impact for pi controller of the Alpha noise, thus be Follow-up Alpha noise eliminates provides data support.

It is illustrated in figure 1 the principle of noise analysis device based on nuclear power station pi controller provided by the present invention Schematic diagram, including controlling main frame 10, and connected Alpha noise simulator 20 and nuclear power station controller board respectively 30。

Described control main frame 10 is for providing the forwarding of operating platform and data.Described control main frame 10 uses and includes type Number it is that the capture card of NI6259 realizes at interior NI main frame.User arranges Alpha by " the main interface " of described operating platform and makes an uproar The attribute information of sound, i.e. carrying out " parameter setting ", specific object information will describe in detail later.The Alpha noise that final analysis goes out Proportional integral (PI) the regulation impact carried out for nuclear power station controller board 30 carries out " waveform shows ".

Concrete noise analysis approach is as follows: the attribute information of described Alpha noise is forwarded to by described control main frame 10 Alpha noise simulator 20, generates Alpha noise with simulation.Described Alpha noise simulator 20 utilizes LabVIEW to realize, and adopts With standard S α S distributed model, its characteristic function meets:

$\mathrm{\&omega;}(t,\mathrm{\&alpha;})=\left\{\begin{array}{c}tan(\mathrm{\&alpha;}\mathrm{\&pi;}/2),\mathrm{\&alpha;}\&NotEqual;1\\ (2/\mathrm{\&pi;}log|t\left|\right),\mathrm{\&alpha;}=1\end{array}\right.---\left(2\right)$

$\mathrm{sgn}\left(u\right)\left\{\begin{array}{c}1,u>0\\ 0,u=0\\ -1,u<0\end{array}\right\}---\left(3\right)$

-∞ < a <+∞, 0 < α≤2 ,-1≤β≤1 (4)

In standard S α S distributed model, i.e. can determine that a complete Alpha noise is stable by 4 parameters a, α, β and γ The characteristic function of distribution.Based on this, parameter a, α, β and γ represent the attribute information of Alpha noise.

Wherein α characterization parameter, for measuring the thickness of described characteristic function hangover, its hangover of the least expression of its value The thickest, in the present embodiment, α value respectively is 0.6,1.2 and 1.8.γ represents the coefficient of dispersion；β represents symmetry coefficient, standard S α S In distributed model, β=0；A represents position characteristic parameter.

Fig. 2-Fig. 4 represents the oscillogram that α is Alpha noise when 0.6,1.2 and 1.8 respectively.It can be seen that α Being worth the biggest, the pulse characteristic of signal is the most weak.

It is illustrated in figure 5 the operation principle schematic diagram of nuclear power station proportional plus integral control system.In Fig. 5, sp represents that standard inputs Value E1, described E1 value sets according to different nuclear power station controller board 30 model.D represents 20 moulds of Alpha noise simulator The noise drawn up.G (c) represents the PI regulation of nuclear power station controller board 30.In the present embodiment, in nuclear power station controller board 30 Filter circuit that portion includes being sequentially connected with, adapter, overpressure protection circuit, active filter, proportional action amplifier, integrator With output biasing.G (P) represents controlled device.In the present embodiment, controlled device can be represented by first-order lag inertial element, its Transmission function is:In formula, K is static gain；T is time constant.

The PI regulation transmission function representation of nuclear power station controller board 30 isK in formula_pFor ratio Gain, T_iFor integration time constant.

The effect of proportional action amplifier is the response speed of quickening system, improves system fading margin precision.K_pThe biggest, be The response speed of system is the fastest, and the degree of regulation of system is the highest, namely the highest to the resolution of error, but easily produces overshoot, Even result in system unstable.If K_pValue is too small, then can reduce degree of regulation, especially makes response speed slow, thus Extend regulating time, make systematic steady state, dynamic property degenerate.Therefore, when deviation is bigger, for improving response speed, K_pTake big Value；When deviation is less, prevent excessive generation of overshoot from vibrating, K_pReduce；When deviation is the least, for making system stable as early as possible, then K_p Should continue to reduce.

The effect of integrator is the steady-state error of elimination system.Error is integrated by it, has certain to system control Hysteresis, integral action is too strong, system overshoot can be caused to increase, even cause vibration.At nuclear power station controller board 30 Conventional PI condition in, when deviation is excessive, for preventing integration saturated, often integral element is separated, when deviation is decreased to one When determining scope, just add integral element.Therefore, when deviation is big or bigger, for avoiding system overshoot, K_iTake null value；Work as deviation Time less, integral element is effective, increases with the reduction of deviation, to eliminate the steady-state error of system, improves control accuracy.

In the present embodiment, by the white Gaussian noise of the input superposition certain amplitude at nuclear power station controller board 30 E2 ' (is equivalent to E2 described hereinafter), can strengthen the debated knowledge and magnanimity of nuclear power station controller board 30PI regulation system, and to system Impact is little.The response curve of response results y the most ideally, and superposition white Gaussian noise as shown in Figure 6,7 After response results y ' response curve.By the above-mentioned conclusion of contrast susceptible of proof of two figures.It is positioned at the curve of Fig. 7 middle and upper part for ringing Should the response curve of result y；The curve of bottom is white Gaussian noise curve.Described white Gaussian noise is simulated by white Gaussian noise Device realizes.

And in the present embodiment, owing to Alpha noise to be determined is for the impact of nuclear power station controller board 30, therefore at core The input superposition Alpha noise of plant controller board 30, response results y of system superposes sum with Alpha noise d and represents For E2.

Nuclear power station controller board 30 receives inputted E1, E2 value, after circuit once filters after filtering, by Adapter carries out the mathematic interpolation of E1, E2.Represent that as E1=E2 Alpha noise is noiseless；During E1 ＞ E2, represent that Alpha makes an uproar Sound is minus deviation；Otherwise during E1 ＜ E2, represent that Alpha noise is overgauge.Described deviation was carried out by overpressure protection circuit Pressure protection, to ensure the stable operation of system.The bias contribution calculated after active filter is filtered, respectively through Proportional action amplifier and the corresponding adjustment of integrator, after being finally normalized, output biasing, integrating circuit is exported Signal be converted to standard signal.As seen in figs. 8-10, Fig. 8-Figure 10 respectively α is 0.6,1.2 and to concrete voltage output result The impact of the PI regulation carried out for nuclear power station controller board 30 of Alpha noise when 1.8.In Fig. 8-Figure 10, the song on top Line is the response curve of response results y；The curve of bottom respectively α is Alpha noise curve when 0.6,1.2 and 1.8.Such as figure Understanding, in Alpha noise, different α values are the most different on the impact of system, and α value is the least, affects the biggest.

Described control main frame 10 can be according to Alpha noise curve for the impact of pi controller, for follow-up Alpha noise eliminates provides data support and noise reduction response.Detailed process non-invention emphasis, therefore no longer repeat.

The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention.In a word, all in the present invention Spirit and principle within, any modification, equivalent substitution and improvement etc. made, should be included in protection scope of the present invention it In.

Claims (8)

1. a noise analysis approach based on nuclear power station pi controller, it is characterised in that including:

Control main frame and receive standard value E1 and the attribute information of Alpha noise that user is inputted, and forward output respectively；

The Alpha noise simulator being connected with described control main frame carries out Alpha according to the attribute information of described Alpha noise and makes an uproar Acoustic simulation, output noise d；

Nuclear power station is controlled by nuclear power station controller board according to PI regulation algorithm, and its input value is respectively E1 and E2, system Response is that system response y superposes sum with described output noise d for y, described E2；

Described control main frame is additionally operable to show that described system responds y.

Method the most according to claim 1, it is characterised in that described Alpha noise simulator utilizes LabVIEW to realize, Employing standard S α S distributed model, its characteristic function meets:

$\mathrm{\&omega;}(t,\mathrm{\&alpha;})=\left\{\begin{array}{cc}tan(\mathrm{\&alpha;}\mathrm{\&pi;}/2),& \mathrm{\&alpha;}\&NotEqual;1\\ (2/\mathrm{\&pi;}\log |t\left|\right),& \mathrm{\&alpha;}=1\end{array}\right.;$

$\mathrm{sgn}\left(u\right)\left\{\begin{array}{c}1,u>0\\ 0,u=0\\ -1,u<0\end{array}\right\};$

-∞ < a <+∞, 0 < α≤2 ,-1≤β≤1；

The attribute information of described Alpha noise includes: α, characterization parameter；γ, represents the coefficient of dispersion；β, represents symmetric system Number；A, represents position characteristic parameter.

Method the most according to claim 2, it is characterised in that respectively value ascending to described characterisitic parameter α is 0.6,1.2 and 1.8.

Method the most according to claim 1, it is characterised in that the transmission function of described nuclear power station controller board is:In formula, K is static gain；T is time constant；

The transmission function representation of described nuclear power station controller board isK in formula_pFor proportional gain, T_i For integration time constant.

Method the most according to claim 1, it is characterised in that the input value of described nuclear power station controller board is also respectively E1 and E2 ', system response for y ', described E2 ' be system response y ' and white Gaussian noise superpose sum.

6. a noise analysis device based on nuclear power station pi controller, it is characterised in that including:

Control main frame, for receiving standard value E1 and the attribute information of Alpha noise that user is inputted, and forward defeated respectively Go out；

Alpha noise simulator, is connected with described control main frame, for carrying out according to the attribute information of described Alpha noise Alpha noise simulation, output noise d；

Described control main frame is additionally operable to receive described noise d, and forwards output；

Nuclear power station controller board, is connected with described control main frame, for nuclear power station being controlled according to PI regulation algorithm, its Input value is respectively E1 and E2, and system response is that described system response y superposes sum with described output noise d for y, described E2；

Described control main frame is additionally operable to show that described system responds y.

Device the most according to claim 6, it is characterised in that described nuclear power station controller board includes being sequentially connected with: Filter circuit, adapter, overpressure protection circuit, active filter, proportional action amplifier, integrator and output biasing.

Device the most according to claim 6, it is characterised in that also include white Gaussian noise simulator；

The white Gaussian noise that described control main frame is additionally operable to described white Gaussian noise simulator is simulated is forwarded to nuclear power station control Device board processed；

Nuclear power station is controlled by described nuclear power station controller board according to PI regulation algorithm, and its input value is respectively E1 and E2 ', System response is that system response y ' superposes sum with described white Gaussian noise for y ', described E2 '；

Described control main frame is additionally operable to show that described system responds y '.