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《基于a粒子群算法的控制系統(tǒng)pid參數(shù)優(yōu)化設(shè)計(jì)》由會(huì)員上傳分享，免費(fèi)在線閱讀，更多相關(guān)內(nèi)容在學(xué)術(shù)論文-天天文庫(kù)。
1、大連海洋大學(xué)畢業(yè)設(shè)計(jì)（論文）第I頁(yè)基于粒子群算法的控制系統(tǒng)PID參數(shù)優(yōu)化設(shè)計(jì)摘要本文主要研究基于粒子群算法控制系統(tǒng)PID參數(shù)優(yōu)化設(shè)計(jì)方法以及對(duì)PID控制的改進(jìn)。PID參數(shù)的尋優(yōu)方法有很多種，各種方法的都有各自的特點(diǎn)，應(yīng)按實(shí)際的系統(tǒng)特點(diǎn)選擇適當(dāng)?shù)姆椒?。本文采用粒子群算法進(jìn)行參數(shù)優(yōu)化，主要做了如下工作：其一，選擇控制系統(tǒng)的目標(biāo)函數(shù)，本控制系統(tǒng)選用時(shí)間乘以誤差的絕對(duì)值，通過對(duì)控制系統(tǒng)的逐步仿真，對(duì)結(jié)果進(jìn)行分析。由于選取的這個(gè)目標(biāo)函數(shù)的解析式不能直接寫出，故采用逐步仿真來實(shí)現(xiàn)；其二，本文先采用工程上的整定方法（臨
2、界比例度法）粗略的確定其初始的三個(gè)參數(shù)K，K，K，再利用粒子群算法進(jìn)行尋優(yōu)，得到更好的PIDpid參數(shù)；其三，采用SIMULINK的仿真工具對(duì)PID參數(shù)優(yōu)化系統(tǒng)進(jìn)行仿真，得出系統(tǒng)的響應(yīng)曲線。從中發(fā)現(xiàn)它的性能指標(biāo)，都比原來有了很大的改進(jìn)。因此，采用粒子群算法的優(yōu)越性是顯而易見的。關(guān)鍵詞目標(biāo)函數(shù)；PID參數(shù)；粒子群算法；優(yōu)化設(shè)計(jì)；SIMULINK大連海洋大學(xué)畢業(yè)設(shè)計(jì)（論文）第II頁(yè)OptimaldesignofPIDparameterofthecontrolsystembasedonParticleSwarm
3、OptimizationAbstractThemainpurposeofthispaperistostudytheoptimaldesignofPIDparameterofthecontrolsystembasedonParticleSwarmOptimizationandfindawaytoimprovethePIDcontrol.TherearealotofmethodsofoptimizationfortheparametersofPID,andeachofthemhasitsowncharacte
4、ristics.Thepropermethodsneedtobeselectedaccordingtotheactualcharacteristicsofthesystem.InthispaperweadopttheParticleSwarmOptimizationtotunetheparameters.Tofinishit,thefollowingtasksshouldbedone.First,selectthetargetfunctionofthecontrolsystem.Thetargetfunc
5、tionofthecontrolsystemshouldbechosenastheabsolutevalueoftheerrormultipliedbytime.Thenwesimulatethecontrolsystemgradually,andanalyzetheresultsoftheprocess.Becausethesolutionofthetargetfunctioncannotbeworkedoutdirectly,thisdesignadoptssimulationgradually.Se
6、cond,thispaperadoptstheengineeringmethod(thecriticalratiomethod)todetermineitsinitialparametersK,K,K,thenusestheParticleSwarmOptimizationtogetaseriespidbetterPIDparameters.Third,thispaperusesthetoolofSIMULINKtooptimizetheparametersofPIDandgetstheresponsec
7、urveofthesystem.Bycontrastwiththetworesponsecurves,itisclearlythattheperformancehasimprovedalotthantheformerone.Therefore,itisobviouslytofindtheadvantagesinusingtheParticleSwarmOptimization.Keyword:targetfunction;PIDparameters;ParticleSwarmOptimization;op
8、timaldesign;SIMULINK大連海洋大學(xué)畢業(yè)設(shè)計(jì)（論文）第III頁(yè)目錄摘要....................................................................................................錯(cuò)誤！未定義書簽。Abstract.......................................................
