2012•Unpublished venueRequires access

Fuzzy sliding mode control for the position tracking servo system

Jing Jiang, Jie Li

Open publisher page 1 citations

Abstract

This paper mainly discusses a design method of the sliding mode variable structure controller based on fuzzy logic scheme for a position servo system, which contains nonlinearity and uncertainty. In order to accelerate the reaching phase and reduce chattering, the exponential approach law is adopted as the control function. Simulation results show that the new control algorithm exhibits the better control performance than the classical control method, and the rapidness and robustness of the system are improved.

About this research paper

What this paper is about

This paper mainly discusses a design method of the sliding mode variable structure controller based on fuzzy logic scheme for a position servo system, which contains nonlinearity and uncertainty. In order to accelerate the reaching phase and reduce chattering, the exponential approach law is adopted as the control function. Simulation results show that the new control algorithm exhibits the better control performance than the classical control method, and the rapidness and robustness of the system are improved.

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Available abstract

This paper mainly discusses a design method of the sliding mode variable structure controller based on fuzzy logic scheme for a position servo system, which contains nonlinearity and uncertainty. In order to accelerate the reaching phase and reduce chattering, the exponential approach law is adopted as the control function. Simulation results show that the new control algorithm exhibits the better control performance than the classical control method, and the rapidness and robustness of the system are improved.

Key concepts: Control theory (sociology), Robustness (evolution), Sliding mode control, Servomechanism, Variable structure control, Fuzzy logic, Fuzzy control system, Computer science

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