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MANIPULATION

Advanced Interval Type-2 Fuzzy Sliding Mode Control for Robot Manipulator

Ji-Hwan Hwang, Young-Chang Kang, Jong-Wook Park, Dong-Won Kim

Year
2017
Citations
10
Access
Open access

Abstract

In this paper, advanced interval type-2 fuzzy sliding mode control (AIT2FSMC) for robot manipulator is proposed. The proposed AIT2FSMC is a combination of interval type-2 fuzzy system and sliding mode control. For resembling a feedback linearization (FL) control law, interval type-2 fuzzy system is designed. For compensating the approximation error between the FL control law and interval type-2 fuzzy system, sliding mode controller is designed, respectively. The tuning algorithms are derived in the sense of Lyapunov stability theorem. Two-link rigid robot manipulator with nonlinearity is used to test and the simulation results are presented to show the effectiveness of the proposed method that can control unknown system well.

Keywords

Control theory (sociology)Interval (graph theory)Sliding mode controlLinearizationFuzzy control systemController (irrigation)Fuzzy logicFeedback linearizationLyapunov stabilityComputer science

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