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2004•Electric Power Science and EngineeringRequires access

A New Method of Fuzzy Sliding Mode Control

Yanquan Liu

Open publisher page 1 citations

Abstract

The sliding mode control based on the fuzzy logic provides a new method in controlling nonlinear control system. It can get rid of the chattering, but introduce the new problem, the steady state error. The dynamic performance of the hybrid fuzzy sliding mode controller depends heavily on the sliding surface on which the control structure is switched. A new method is presented in which fuzzy control approaches the sliding mode controller with adjusting the value of λ. In order to improve the properties, the fuzzy supervisory controller is used in the same time. The simulation results indicate the effectiveness of the method.

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What this paper is about

The sliding mode control based on the fuzzy logic provides a new method in controlling nonlinear control system. It can get rid of the chattering, but introduce the new problem, the steady state error. The dynamic performance of the hybrid fuzzy sliding mode controller depends heavily on the sliding surface on which the control structure is switched. A new method is presented in which fuzzy control approaches the sliding mode controller with adjusting the value of λ. In order to improve the properties, the fuzzy supervisory controller is used in the same time. The simulation results indicate the effectiveness of the method.

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Available abstract

The sliding mode control based on the fuzzy logic provides a new method in controlling nonlinear control system. It can get rid of the chattering, but introduce the new problem, the steady state error. The dynamic performance of the hybrid fuzzy sliding mode controller depends heavily on the sliding surface on which the control structure is switched. A new method is presented in which fuzzy control approaches the sliding mode controller with adjusting the value of λ. In order to improve the properties, the fuzzy supervisory controller is used in the same time. The simulation results indicate the effectiveness of the method.

Key concepts: Control theory (sociology), Sliding mode control, Fuzzy logic, Controller (irrigation), Nonlinear system, Mode (computer interface), Fuzzy control system, Variable structure control

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