基于蚁群算法的群智能理论在系统优化中的应用-研究

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1、华北电力大学硕士学位论文AbstractElectricpowerisoneofthemainformsandessentialpartofenergyutilizationinourcountryandeventheworld'senergy,thedemandoftheelectricpowerisalsoincreaseswiththesteadydevelopmentofoureconomyincreasingly.AtpresentinChina,themainwayofcoal-firedpowerisstill

2、inpowerproduction,sohowtoimprovetheutilizationofcoalresourcesandreducethecostofcoal-firedpowergeneration,becometheimportantproblemsofcurrentcoalresourceshortage.Modernindustrialprocesscontrolsystem,especiallymostoftheuseofPIDcontrolforthermalprocesscontrolsystemint

3、hermalpowerplant,thestabilityandparametersofitsreasonableornotdirectlyrelatedtothesafeandstableoperationandeconomicbenefitofthermalpowerunits.MoreandhigherrequirementshavebeenputforwardtoThermalcontroltechnologywiththeincreasingcapabilityoftheThermalpowergenerating

4、units.Howtogetreasonablecontrolparametersafterobtainingthemodelofthermalcontrolobjectsbecamenecessaryconditionsandkeytechnologyofthermalcontrolsystemdesign.Areasonablemodelstructurewiththeimprecisecontrolparameterscouldinfluencetheeffectandefficiencyofcontrolsystem

5、,andcauseinstabilityofthewholesystem,eventhreatenthesecurityofsystem.Antcolonyoptimizationisanewkindofsimulatedevolutionaryalgorithmthatsuitableforsolvingallkindsofcomplexcombinatorialoptimizationproblem.Notonlyhastheabilitytosolvecombinatorialoptimizationproblemsi

6、ndiscretedomain,butalsomadearichfruitsinsolvingthecontinuousspacefunctionoptimizationproblembothontheresearchandapplication.Basedonthebasictheoryofantcolonyalgorithmintheoriginofthought,basicprinciple,algorithmmodelandimplementationmethods,thispapermainlyfocusonthe

7、applicationofantcolonyalgorithminthePIDcontrollerparametersoptimization,how-toimprovethebasicantcolonyalgorithmtoworkbetterfordifferentcontrolobject,finallyapplytheantcolonyoptimizationandtheimprovementcalculationtoPIDparameteroptimizationofboilersteamlevelcontrols

8、ystemandSteamtemperaturecontrolsystem.AntcolonyoptimizationprovidesanewmethodandthoughttoPIDparameteroptimization.Thisarticleisresearchtheapplica