CN106787695B - 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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- CN106787695B CN106787695B CN201710094409.8A CN201710094409A CN106787695B CN 106787695 B CN106787695 B CN 106787695B CN 201710094409 A CN201710094409 A CN 201710094409A CN 106787695 B CN106787695 B CN 106787695B
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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
A kind of Switching Power Supply control method of dynamic response optimization, is based on including Buck buck topology circuit, determines frequency LLC regulating circuit, output voltage sampling circuit and the control system constituted using microcontroller as the control circuit of control core.Sampling obtains the factor of evaluation in relation to dynamic response effect in system adjustment process, the stabilization time including overshoot and system output voltage in adjustment process, 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 enabling to overshoot in the control process of pid control module and stablizes the parameter that the time is 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 responses based on multi-objective optimization algorithm
Optimize Switching Power Supply control method.
Background technique
In field of switch power, dynamic response is an important indicator for assessing Switching Power Supply performance, improves digital power
Control method Switching Power Supply dynamic response capability can be improved.It is summed up in current control mode mainly by three kinds of numbers
Control method, the first is the control method based on linearity compensator, using numerically controlled flexibility, adjusts suitable control
Parameter or compensator form so that system reaches higher bandwidth, while having enough stability margins again.Such controlling party
Formula can reduce noise problem using fixed switching frequency, realize that the quick of voltage is adjusted and easy to accomplish at low cost.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, corresponding different work
Different parameters is designed when 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 this method, which need to carry out pid parameter when system designs, to be set
Meter can not be showed when system is run according to the actual performance of system to optimize pid control module.
There are also one is nonlinear control mode is added, so that power work is in dynamic condition, gamma controller
It plays a role, improves the bandwidth of system, constant switching frequency, which may be implemented, in voltage mode based Hysteresis control mode has
Variable stagnant loop bandwidth can be used as the alternative for improving dynamic response in some applications.But in actual application,
Above scheme is often by various limitations, such as the Hysteresis control of voltage mode is not directly applicable Boost
Converter can influence each other in Buck converter with voltage shaping modes again, and the hystersis controller of current-mode can be to avoid
These problems, but they but have biggish difficulty among practical application.
The above control model is both needed to be designed control system at the beginning of power supply designs, and may be faced with to adapt to system
Various situations often involve the derivation of equation of load, furthermore in high frequency switch power, the practical work of the derivation of equation and system
Make situation often and will appear deviation deviation occur so as to cause the setting of system to lead to the operational failure of system.
As modern manavelins develop towards intelligentized direction, realize one kind in the case where output voltage stabilization
Dynamic tuning is optimal to realize can be realized to the pid control module of Switching Power Supply according to the running all data of system
The control mode of dynamic response effect is particularly important.
Summary of the invention
The purpose of the present invention is existing deficiency provides a kind of moving based on multi-objective optimization algorithm in view of the prior art
State response optimization Switching Power Supply control method.
The present invention to achieve the above object, adopts the following technical scheme that a kind of power control method of dynamic response optimization,
It is characterized by: rear class determines frequency LLC regulating circuit based on including prime Buck buck topology circuit, input voltage sample circuit,
Amplifier isolation circuit and the control system constituted using microcontroller as the control circuit of control core, output voltage sampling
Circuit sampling rear class determines the output voltage of frequency LLC, and then being exported by amplifier isolation circuit to microcontroller is control core
The control circuit of the heart controls prime Buck buck topology circuit by the output signal of the control circuit of core of microcontroller respectively
In two switching tubes and rear class determine four switching tubes in frequency LLC pressure regulation topological circuit, in which:
Output voltage sampling circuit determines the load resistance R of frequency LLC pressure regulation topological circuit by rear class1,R2Partial pressure sampling, electricity
Hinder R1One end connection rear class determine frequency LLC pressure regulation topological circuit, resistance R1The other end connect resistance R2One end and as electricity
Press sampled output, resistance R2The other end connection output ground terminal；
Amplifier isolation circuit is operational amplifier k1, operational amplifier k1Negative terminal connect voltage sample output end, fortune
Calculate amplifier k1Anode connection output ground terminal；
Microcontroller is that the control circuit of control core is directed to related dynamic response in the system adjustment process that sampling obtains
The factor of evaluation of effect, the stabilization time including overshoot and system output voltage in adjustment process, 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 stable 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
Module occurs for modulation, and the input signal of AD conversion module is operational amplifier k1Output signal, AD conversion module will convert after
Output voltage values exported respectively to timer module and pid control module, timer module receives output voltage values, and with set
Constant voltage value, which exports overshoot more afterwards and stablizes the time, gives multi-objective optimization algorithm module, the duty of pid control module output
Prime Buck buck topology circuit is controlled than signal and rear class determines the switching tube of frequency LLC pressure regulation topological circuit, multiple-objection optimization
Algoritic module optimizes the parameter of pid control module, including Proportional coefficient K p, integral coefficient Ki and differential coefficient Kd；
Using microcontroller as the workflow of the control circuit of control core the following steps are included:
1) it is initialized first according to relevant parameter of the preset value of system to system, the output electricity including setting system
Pressure value, and the operating mode and running parameter of the related peripherals including timer, A/D conversion module, interruption are configured,
Wherein timer 1 modulates generation module for pulse width, for controlling opening for two metal-oxide-semiconductors in Buck buck topology circuit
It closes, timer 2 makes output voltage stabilization institute using when interrupting and changing with precise acquisition voltage after PID control is adjusted
The time of consumption, configuration A/D conversion module are worked in DMA mode, configure the interruption of timer 1, adjusted using pid control module
Duty ratio is to control output voltage；
2) include multi-objective optimization algorithm module parameter initialization, the related ginseng that setting multi-objective optimization algorithm executes
Number, comprising: the maximum value N of individual amount, population iterative algebra count value i, kind in population iterations max I, every generation population
Become between coding mode, the probability of intersection, individual between group's individual amount count value n, the code length of every generation individual, individual
Different probability, and the initial value of population iterative algebra count value i and population at individual number count value n is set as 0；
3) according to the gene of n-th in the i-th generation population individual, 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, uses in multi-objective optimization algorithm module
It is binary coding mode, the coding is a string of binary digits, this number is converted into the decimal system after over-segmentation
Representative value, as 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 using parameter to change the control performance of control module；
4) after the parameter setting of pid control module, by pid control module regulating switch power-supply system control parameter simultaneously
So that the output voltage stabilization of system, and start timer module and A/D conversion module simultaneously, stablize it to system output voltage
Afterwards, the overshoot of system output voltage and system output voltage in adjustment process can be collected to change to system
Regulating time consumed by output voltage stabilization；
5) the i.e. stabilization time of overshoot and system is each to calculate according to the collected data for multi-objective optimization algorithm module
The ranking Rank of individual；
6) judge whether the individual is the last one individual in the generation population, if not the value of n is added one, and return to the 3)
Step executes, if so then execute in next step；
If 7) multi-objective Algorithm module judges whether system practice condition meets system closure condition and otherwise perform the next step,
Otherwise the 12) step is executed；
8) population P is operated using evolution algorithm, obtains new population R；
9) it takes union P ∪ R to obtain new population Nest by mathematical operations, generates new father population later using quickly non-
Dominated Sorting algorithm is ranked up population, i.e., hypothesis population is P, then the algorithm needs to calculate two ginsengs of each individual p in P
Number npAnd Sp, wherein npFor the number of individuals for dominating individual p in population, SpFor the individual collections dominated in population by individual p；Traversal
Entire population, total computation complexity of the two parameters are O (mN2)；The step of algorithm is that (1) finds all n in populationp=0
Individual, and it is stored in current collection F1, among；(2) for current collection F1Each of individual i, the individual collections dominated
For Si, traverse SiEach of individual l, execute nl=nl- 1, if nl=0 is stored in individual l in set H；(3) remember F1In
Obtained individual is the individual of first non-dominant layer, and using H as current collection, repeats aforesaid operations, until entire population
It is graded；
10) after carrying out quick non-dominated ranking to the individual in population, just start the meter for carrying out each individual crowding
It calculates, crowding refers to surrounding's population density that individual is given in population, is intuitively expressed as individual, and surrounding only includes individual,
The algorithm of crowding is as follows: (1) enabling nd=0, n=1,2 ..., N；(2) for each objective function, it is primarily based on the target letter
Several pairs of populations are ranked up, then enable boundary two individual crowdings be it is 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 and non-branch of any two individual in population
With relationship, the comparison of individual superiority and inferiority according to be i >=nJ, i.e. individual i are better than individual j, and if only if irank<jrankOr irank=jrank
And id>jd, after above-mentioned operation, jump 3) step execution；
12) pid control module for the parameter of the solution to rank the first in population being decoded, and being applied in system, and control
Switch power supply system.
Upon power-up of the system, multi-objective optimization algorithm module carries out relevant parameter initialization, while microcontroller is arranged
Related peripherals parameter includes timer, A/D conversion module, and then system initializes pid control module, PID using initial parameter
Control module regulating switch power-supply system makes output voltage stabilization, is then based on the multi-objective optimization algorithm mould of non-dominated ranking
BOB(beginning of block) work, and initialize and generate population P, the ginseng of pid control module is obtained by the coding of each individual in decoding population
Number, and it is applied to pid control module, it then matches to obtain system dynamic response process with A/D conversion module using timer
In overshoot and regulating time, and it is optimal to find out as quick non-dominated ranking algorithm and crowding computational algorithm
Individual, optimal individual is obtained simultaneously by quick non-dominated ranking in multiple-objection optimization module and crowding computational algorithm
Its parameter is decoded to be applied to pid control module, making its dynamic response performance includes reaching overshoot and stable time
To optimal performance.
Advantages of the present invention and remarkable result:
1, using the multi-objective optimization algorithm based on non-dominated ranking, at the same optimize three parameters of pid control module with
Reach minimum overshoot and the shortest stabilizing time.
2, stable duty ratio output voltage, high sensitivity, output voltage stabilization are adjusted using pid control module.
3, circuit is simple, at low cost without the complex control of specific integrated circuit, good reliability.
Detailed description of the invention
Fig. 1 is overall structure block diagram of the present invention；
Fig. 2 is present system schematic diagram；
Fig. 3 is present invention control program flow diagram.
Specific embodiment
Technical solution of the present invention is described in detail with reference to the accompanying drawing.
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 open up the pid control module of switch power supply system with the dynamic response performance of optimization system, including prime Buck decompression
Circuit is flutterred, rear class determines frequency LLC pressure regulation topological circuit, output voltage sampling circuit and its amplifier isolation circuit.And with micro-
Controller is the control system that the control circuit of core is constituted.The output voltage that output sampling circuit samples rear class determines frequency LLC is right
Afterwards by Amplification and insulation circuit output extremely using microcontroller as the control circuit of core, using microcontroller as the control circuit of core
The switching tube M of output signal control prime Buck buck topology circuit1、M3The switching tube of frequency LLC pressure regulation topological circuit is determined with rear class
M2、M4、M5、M6。
Output voltage sampling circuit determines load resistance R1, R2 the partial pressure sampling of frequency LLC pressure regulation topological circuit, electricity by rear class
R1 is hindered, the connecting pin of 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 corresponds to output voltage sampling circuit, fortune
The negative terminal for calculating amplifier k1 connects output voltage sampled output, the anode connection output ground terminal of operational amplifier k1.
Microcontroller be the control circuit of control core include AD conversion module, it is pid control module, timer module, more
Module occurs for objective optimization algoritic module and pulse width modulation, and the input signal of AD conversion module is operational amplifier k1's
Output signal, AD conversion module export the output voltage values after conversion respectively to timer module and pid control module.PID
The duty cycle signals control prime Buck buck topology circuit and rear class of control module output determine frequency LLC pressure regulation topological circuit
Switching tube.Parameter logistic COEFFICIENT K p, integral coefficient Ki and the differential coefficient of multi-objective optimization algorithm module optimization pid control module
Kd。
Referring to Fig. 3, microcontroller is that the workflow of the control circuit of control core includes the next steps:
1. being initialized first according to relevant parameter of the preset value of system to system, the output electricity including setting system
Pressure value, and configuration timer, A/D conversion module, the operating mode and running parameter of the related peripherals such as interruption.Wherein timing
Device 1 is that pulse width is modulated used in generation module, for controlling the metal-oxide-semiconductor M in Buck buck topology circuit1,M3Switch, it is fixed
When device 2 using when interrupting and changing with precise acquisition voltage after PID control is adjusted output voltage stabilization is consumed
Time, configuration A/D conversion module worked in DMA mode, configures the interruption of timer 1 to be accounted for using pid control module adjusting
Empty ratio is to control output voltage.
2. the parameter initialization of multi-objective optimization algorithm module, the relevant parameter executed including set algorithm such as: population changes
It is counted for the maximum value N of individual amount, population iterative algebra count value i, population at individual quantity in maximum value I, every generation population
The probability to morph between coding mode, the probability of intersection, individual between value n, the code length of every generation individual, individual, and set
The initial value for determining population iterative algebra count value i and population at individual number count value n is 0.
3. according to the gene of n-th in the i-th generation population individual, 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, the coding is a string of binary digits, by this number be converted into after over-segmentation ten into
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 using parameter to change the control performance of control module.
After the parameter setting of 4.PID control module, by pid control module regulating system control parameter and make system
Output voltage stabilization, and start timer module and A/D conversion module simultaneously, after stablizing to system output voltage,
The overshoot of system output voltage and system output voltage in adjustment process is collected to change to system output electricity
Pressure stablizes consumed regulating time.
5. the i.e. stabilization time of overshoot and system is each to calculate according to the collected data for multi-objective optimization algorithm module
The ranking Rank of individual.
6. judging whether the individual is the last one individual in the generation population, if not the value of n is added one, and returns to the 3rd
Step executes, if so then execute in next step；
7. multi-objective Algorithm module judges if whether system practice condition meets system closure condition and otherwise perform the next step,
Otherwise step 12 is executed.
8. operating using evolution algorithm to population P, new population R is obtained.
9. taking union P ∪ R to obtain new population Nest by mathematical operations, new father population is generated later using quickly non-
Dominated Sorting algorithm is ranked up population.Assume that population is P, then the algorithm needs to calculate two ginsengs of each individual p in P
Number npAnd Sp, wherein npFor the number of individuals for dominating individual p in population, SpFor the individual collections dominated in population by individual p.Traversal
Entire population, total computation complexity of the two parameters are O (mN2).The key step of algorithm are as follows:
(1) all n in population are foundp=0 individual, and it is stored in current collection F1, among.
(2) for current collection F1Each of individual i, the individual collections dominated be Si, traverse SiIn per each and every one
Body l executes nl=nl- 1, if nl=0 is stored in individual l in set H；
(3) remember F1Obtained in individual be first non-dominant layer individual, it is repeatedly above-mentioned and using H as current collection
Operation, until entire population is graded.
10. after the individual in pair population carries out quick non-dominated ranking, just starting the meter for carrying out each individual crowding
It calculates, crowding refers to surrounding's population density that individual is given in population, is intuitively represented by individual, and surrounding only includes
Body.The algorithm of crowding is as described below,
(1) n is enabledd=0, n=1,2 ..., N
(2) it for each objective function, is primarily based on the objective function and population is ranked up, then enable two of boundary
Individual crowding be it is infinite, i.e., 1d=Nd=∞ calculates nd=nd+(fm(i+1)-fm(i-1)), n=2,3 ..., N-1
11. each individual n obtains two attributes in population after being calculated by quick dominated Sorting and crowding, point
It is not non-dominated ranking nrankWith crowding nd.Using the two attributes, the domination of any two individual in population can be distinguished
With non-dominant relationship.The comparison of individual superiority and inferiority according to be i >=nJ, i.e. individual i are better than individual j, and if only if irank<jrankOr
irank=jrankAnd id>jd.After above-mentioned operation, step 3 execution is jumped.
12. the pid control module that the parameter of the solution to rank the first in population is decoded, and is applied 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 related
Parameter initialization, while the related peripherals parameter such as timer of microcontroller, A/D conversion module etc. are set.Then system is using just
Beginning parameter initialization pid control module, pid control module regulating switch power-supply system make output voltage stabilization.It is then based on
The multi-objective optimization algorithm module of non-dominated ranking is started to work, and is initialized and generated 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 timer and A/D conversion module are utilized
Match to obtain the overshoot and regulating time during system dynamic response, and as quick non-dominated ranking algorithm with
And crowding computational algorithm finds out optimal individual.By quick non-dominated ranking in multiple-objection optimization module and crowded
Degree computational algorithm obtains optimal individual and decodes its parameter to be applied to pid control module, makes its dynamic response performance
It is optimal performance including overshoot and stable time.
Claims (2)
1. a kind of Switching Power Supply control method of dynamic response optimization, it is characterised in that: based on including prime Buck buck topology
Circuit, rear class determine frequency LLC regulating circuit, output voltage sampling circuit, amplifier isolation circuit and be control with microcontroller
The control system that the control circuit of core processed is constituted, output voltage sampling circuit sampling rear class determine the output of frequency LLC regulating circuit
Then voltage gives the control circuit that microcontroller is control core by the output of amplifier isolation circuit, with microcontroller
Output signal for the control circuit of core controls two switching tubes in prime Buck buck topology circuit respectively and rear class is fixed
Four switching tubes in frequency LLC regulating circuit, in which:
Output voltage sampling circuit determines the load resistance R of frequency LLC regulating circuit by rear class1,R2Partial pressure sampling, resistance R1One
End connection rear class determines the output end of frequency LLC regulating circuit, resistance R1The other end connect resistance R2One end and as voltage sample
Output end, resistance R2The other end connection output ground terminal；
Amplifier isolation circuit is operational amplifier k1, operational amplifier k1Negative terminal connect voltage sample output end, operation puts
Big device k1Anode connection output ground terminal；
Sampling obtains the factor of evaluation in relation to dynamic response effect in system adjustment process, which includes in adjustment process
Overshoot and system output voltage the stabilization time, using microcontroller as the control circuit of control core 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 stable time in the control process of module are optimal, so that the dynamic response effect of system
It is optimal；It include A/D conversion module, pid control module, timer mould by the control circuit of control core of microcontroller
Block, multi-objective optimization algorithm module and pulse width modulate generation module, and the input signal of A/D conversion module is operation amplifier
Device k1Output signal, A/D conversion module exports the output voltage values after conversion respectively to timer module and PID control mould
Block, timer module receive output voltage values, and export overshoot afterwards compared with setting voltage value and stablize the time to multiple target
Optimization algorithm module, the fixed frequency of duty cycle signals control prime Buck buck topology circuit and rear class of pid control module output
The switching tube of LLC regulating circuit, multi-objective optimization algorithm module optimize the parameter of pid control module, including Proportional coefficient K p, product
Divide COEFFICIENT K i and differential coefficient Kd；
Using microcontroller as the workflow of the control circuit of control core the following steps are included:
1) it is initialized first according to relevant parameter of the preset value of system to system, the output voltage including setting system
Value, and configure the operating mode and work ginseng of the related peripherals including timer module, A/D conversion module, interruption
Number, wherein the timer 1 in timer module modulates generation module for pulse width, for controlling Buck buck topology circuit
In two switching tubes turn-on and turn-off, timer 2 in timer module changes with precise acquisition voltage using interrupting
When make the time consumed by output voltage stabilization after pid control module is adjusted, configuration A/D conversion module works in directly
Memory access (Direct Memory Access) mode configures the interruption of timer 1, adjusts duty using pid control module
Than to control output voltage；
2) include multi-objective optimization algorithm module parameter initialization, setting multi-objective optimization algorithm execute relevant parameter, packet
It includes: the maximum value N of individual amount, population iterative algebra count value i, population at individual in population iterations max I, every generation population
It morphs between coding mode, the probability of intersection, individual between number count value n, the code length of every generation individual, individual general
Rate, and the initial value of population iterative algebra count value i and population at individual number count value n is set as 0；
3) according to the gene of n-th in the i-th generation population individual, 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, using two in multi-objective optimization algorithm module
Scale coding mode, the coding are a string of binary digits, this number is converted into decimal system institute's generation after over-segmentation
The value of table, the as parameter of pid control module: Proportional coefficient K p, integral coefficient Ki and differential coefficient Kd are joined using above three
Several pairs of pid control modules are configured to change the control performance of control system；
4) after the parameter setting of pid control module, by pid control module regulating switch power-supply system control parameter and make
The output voltage stabilization of system, and start timer module and A/D conversion module simultaneously, after stablizing to system output voltage,
Just the overshoot of system output voltage and system output voltage in adjustment process is collected to change to system output
Regulating time consumed by voltage stabilization；
5) it is defeated to system to be that overshoot and system output voltage change according to the collected data for multi-objective optimization algorithm module
Regulating time consumed by voltage stabilization out, to calculate the ranking Rank of each individual；
6) judge whether the individual is the last one individual in the generation population, if it is not, the value of n is added one, and return to the 3) step
It executes, if so, performing the next step；
7) multi-objective optimization algorithm module judges whether system practice condition meets system closure condition, if it is not, then executing next
Otherwise step executes the 12) step；
8) population P is operated using evolution algorithm, obtains new population R；
9) it takes union P ∪ R to obtain new population Nest by mathematical operations, generates new population and utilize quick non-dominant row later
Sequence algorithm is ranked up population, i.e. hypothesis population is P, then quick non-dominated ranking algorithm needs to calculate each individual p in P
Two parameter npAnd Sp, wherein npFor the number of individuals for dominating individual p in population, SpIndividual to be dominated in population by individual p collects
It closes；Entire population is traversed, total computation complexity of the two parameters is O (mN2)；Quickly the step of non-dominated ranking algorithm is
(1) all n in population are foundp=0 individual, and it is stored in current collection F1Among；(2) for current collection F1Each of
Individual i, the individual collections dominated are Si, traverse SiEach of individual i, i value range be 1 arrive set F1In
Body quantity executes ni=ni- 1, if ni=0 is stored in individual i in set H；(3) remember F1Obtained in individual be first
The individual of a non-dominant layer, and using H as current collection, aforesaid operations are repeated, until entire population is graded；
10) after carrying out quick non-dominated ranking to the individual in population, just start the calculating for carrying out each individual i crowding,
Crowding refers to surrounding's population density that individual is given in population, and the algorithm of crowding is as follows:
(1) n is enabledd=0, n=1,2 ..., N；
(2) it for each objective function, is primarily based on the objective function and population is ranked up, then enable two individuals on boundary
Crowding be it is infinite, i.e., 1d=Nd=∞ calculates nd=nd+(fm(i+1)-fm(i-1)),fmIt is objective function, n=2,
3,…,N-1；
11) after being calculated by quick non-dominated ranking and crowding, each individual n obtains two attributes in population, respectively
It is quick non-dominated ranking arithmetic result nrankWith crowding nd, using the two attributes, distinguish any two individual in population
The comparison foundation of domination and non-dominant relationship, individual superiority and inferiority is ni≥nj, i.e. individual i is better than individual j, and if only if irank<jrank
Or irank=jrankAnd id>jd, after above-mentioned operation, jump 3) step execution；The value range of wherein i, j are 1 to set
F1In individual amount, irank and jrank respectively represent the quick non-dominated ranking algorithm of individual i and individual j as a result, id
The crowding of individual i He individual j are respectively represented with jd；
12) pid control module for the parameter of the solution to rank the first in population being decoded, and being applied in system, and control switch
Power-supply system.
2. the Switching Power Supply control method of dynamic response optimization according to claim 1, it is characterised in that: when system starts
When, multi-objective optimization algorithm module carries out relevant parameter initialization, while the related peripherals parameter that microcontroller is arranged includes fixed
When device module, A/D conversion module, then system initializes pid control module using initial parameter, and pid control module adjusting is opened
It closes power-supply system and makes output voltage stabilization, the multi-objective optimization algorithm module for being then based on quick non-dominated ranking starts work
Make, and initialize and generate population P, the parameter of pid control module is obtained by the coding of each individual in decoding population, and apply
In pid control module, then match to obtain with A/D conversion module using timer module super during system dynamic response
Tune amount and regulating time, and optimal individual is found out as quick non-dominated ranking algorithm and the algorithm of crowding,
Optimal individual and decoding are obtained by the algorithm of the quick non-dominated ranking in multi-objective optimization algorithm module and crowding
For its parameter to be applied to pid control module, making its dynamic response performance includes that overshoot and regulating time reach most
Dominance energy.
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