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MANIPULATION

Application of Fuzzy Logic to Sliding Mode Control for Robot Manipulators

Jae-Sam Park

Year
1997
Citations
2

Abstract

In this paper, a new fuzzy sliding mode control algorithm is presented for trajectory control of robot manipulators. A fuzzy logic is applied to a sliding mode control algorithm to have the sliding mode gain adjusted continuously through fuzzy logic rules. With this scheme, the stability and the robustness of the proposed fuzzy logic control algorithm are proved and ensured by the sliding mode control law. The fuzzy logic controller requires only a few tuning parameters to adjust. Computer simulation results are given to show that the proposed algorithm can handle uncertain systems with large parameter uncertainties and external disturbances.

Keywords

Control theory (sociology)Fuzzy logicRobustness (evolution)Sliding mode controlComputer scienceControl engineeringFuzzy control systemRobotMode (computer interface)Robot manipulator

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