自动化专业英语论文

AdaptiveControlStrategiesandOptimizationinIntelligentAutomationSystems

Abstract

Keywords

IntelligentAutomation,AdaptiveControl,OptimizationAlgorithms,MachineLearning,IndustrialApplications

1.Introduction

2.AdaptiveControlStrategies:FundamentalsandEvolution

2.1ClassicalAdaptiveControlFrameworks

2.2AdvancedAdaptiveControlTechniques

3.OptimizationAlgorithmsinAdaptiveControlSystems

3.1RoleofOptimizationinAdaptiveControl

Optimizationplaysacriticalroleinrefiningadaptivecontrolstrategiesbyminimizingperformanceindicessuchasenergyconsumption,trackingerror,orresponsetime.Traditionaloptimizationmethods,includinggradientdescentandquadraticprogramming,arewidelyusedforparametertuningbutmaysufferfromlocaloptimatrappinginnonconvexproblemspaces.

3.2MetaheuristicandLearning-BasedOptimization

4.PracticalApplicationsandCaseStudies

4.1ManufacturingProcessControl

Insemiconductormanufacturing,adaptivecontrolsystemswithreal-timeoptimizationhavebeendeployedtoregulatetemperatureandpressureinchemicalvapordeposition(CVD)processes.ByintegratingfuzzyadaptivecontrolwithPSO-basedparameteroptimization,thesesystemsreducedprocessvariabilitybyasignificantmargin,leadingtoimprovedyieldandproductquality.

4.2RoboticsandMotionControl

4.3EnergyManagementSystems

Insmartgridapplications,adaptivecontrolstrategiesareusedtooptimizeenergydistributionandconsumption.Anadaptiveloadbalancingsystem,incorporatingmodelpredictivecontrol(MPC)withonlineoptimizationviastochasticgradientdescent,improvedgridstabilityandreducedenergylossesbydynamicallyadjustingtodemandfluctuationsandrenewableenergyinputvariations.

5.ChallengesandFutureDirections

6.Conclusion

References

[1]Astrom,K.J.,&Wittenmark,B.(2013).*AdaptiveControl*.CourierCorporation.

[3]Reynolds,R.G.,&Prokhorov,D.V.(2019)."ReinforcementLearningforAdaptiveControl:ASurvey."*AnnualReviewsinControl*.

[4]Zhang,H.,etal.(2021)."OptimizationofAdapti