论文信息 - SlidingMode Control ofMagnetic Levitation System Using RadialBasisFunction NeuralNetworks

SlidingMode Control ofMagnetic Levitation System Using RadialBasisFunction NeuralNetworks

Thispaperhasdeveloped asliding modecontroller (SMC)basedona radial basis function modelforcontrol of Magnetic levitation system. Adaptive neural networks controllers needplant's Jacobain, butherethisproblem solved bysliding surface andgeneralized learning ruleincasetoeliminate Jacobain problem. Thesimulation results showthatthis method isfeasible andmoreeffective forMagnetic levitation system control.

Abolfazl Jalilvand | M. Teshnehlab | M. Aliyari Shoorehdeli | M. Aliasghary

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