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Sliding mode variable structure control of nonlinear system based on system identification

Wanye Yao

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Abstract

Aiming at first kind of nonlinear system,a sliding mode variable structure control method based on system identification by using of neural network was proposed.The controlled system object was dynamically identified by two neural networks.Combining with variable structure control,the limit of variation range for controlled object in the conventional variable structure control was overcome.The simulation results show that the control system has good stability and convergence,meanwhile,system chattering is reduced and good robustness is achieved.

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What this paper is about

Aiming at first kind of nonlinear system,a sliding mode variable structure control method based on system identification by using of neural network was proposed.The controlled system object was dynamically identified by two neural networks.Combining with variable structure control,the limit of variation range for controlled object in the conventional variable structure control was overcome.The simulation results show that the control system has good stability and convergence,meanwhile,system chattering is reduced and good robustness is achieved.

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Available abstract

Aiming at first kind of nonlinear system,a sliding mode variable structure control method based on system identification by using of neural network was proposed.The controlled system object was dynamically identified by two neural networks.Combining with variable structure control,the limit of variation range for controlled object in the conventional variable structure control was overcome.The simulation results show that the control system has good stability and convergence,meanwhile,system chattering is reduced and good robustness is achieved.

Key concepts: Variable structure control, Control theory (sociology), Variable structure system, Robustness (evolution), Sliding mode control, Nonlinear system, Control system, Artificial neural network

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