基于软计算的非线性系统自适应误差优化控制

Int. J. Energy Optim. Eng. Pub Date : 2017-07-01 DOI:10.4018/IJEOE.2017070104

Ashwani Kharola, P. Patil

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引用次数: 0

摘要

Thispaperelaboratesanovelhybridlearningapproachfortrainingerroroptimisationandcontrolof highlydynamictriple-linkinvertedpendulumoncart。Thestudydemonstratesarelationshipbetween shapeandnumberofmembershipfunctions(MFs)ofbothlinearandconstanttypetodetermine训练控制器的误差公差。结果被绘制出来，并被清晰地突出了supremacyofconstanttypethreetriangularshapeMFs。Mathematicalmodelandsimulinkofproposed systemhasalsobeenanalysed。Thelearningabilityanddesigningmethodologyofadaptivenetworks androbustnessofPIDcontrollersarebrieflydescribed。Finally，thestudyillustratesanofflinemode comparisonofPIDbasedANFISandNeuralcontrollersintermsofsettlingtime，steadystateerror andovershoot。关键词ANFIS，隶属函数，神经网络，PID，仿真，软计算，训练误差，三联摆

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Soft Computing Based Adaptive Error Optimisation for Control of Nonlinear System

Thispaperelaboratesanovelhybridlearningapproachfortrainingerroroptimisationandcontrolof highlydynamictriple-linkinvertedpendulumoncart.Thestudydemonstratesarelationshipbetween shapeandnumberofmembershipfunctions(MFs)ofbothlinearandconstanttypetodetermine training error tolerance of ANFIS controller. The results are plotted which clearly highlighted supremacyofconstanttypethreetriangularshapeMFs.Mathematicalmodelandsimulinkofproposed systemhasalsobeenanalysed.Thelearningabilityanddesigningmethodologyofadaptivenetworks androbustnessofPIDcontrollersarebrieflydescribed.Finally,thestudyillustratesanofflinemode comparisonofPIDbasedANFISandNeuralcontrollersintermsofsettlingtime,steadystateerror andovershoot. KEywORdS ANFIS, Membership Functions, Neural Networks, PID, Simulation, Soft Computing, Training Error, TripleLink Pendulum

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Int. J. Energy Optim. Eng.

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