Trajectory-Tracking Control for Manipulators Based on Fuzzy Equivalence and a Terminal Sliding Mode

Author:

Liu Youyu1,Li Yi1,Zhang Xuyou1,Chen Bo1

Affiliation:

1. Anhui Polytechnic University, School of Mechanical Engineering, China

Abstract

To suppress the chattering of manipulators under heavy-load operations, a control method called fuzzy equivalence & terminal sliding mode (FETSM) was applied to the trajectory tracking of motion curves for manipulators. Based on the switching term of the equivalent sliding mode (ESM), a fuzzy parameter matrix processed by the simple fuzzy rules was introduced, and the fuzzy switching term was obtained. By summing the fuzzy switching term and the equivalent term of the equivalence and a terminal sliding mode (ETSM), the control law of the FETSM for manipulators was obtained. On this basis, the stability of the system was analysed and the finite arrival time of it was deduced. On the premise of ensuring the stability of the system, the fuzzy rules and membership functions were designed for the fuzzy constants in the fuzzy switching term. Simulation tests show that the proposed FETSM can ensure sufficient trajectory-tracking precision, error convergence speed, and robustness. Compared with the ETSM, the proposed FETSM can reduce the chattering time by 94.75 % on average; compared with the proportion-integral-differential (PID) control method, the maximum chattering amplitude by the FETSM can be reduced by at least 99.21 %. Thus, the proposed FETSM is suitable for those manipulators under heavy-load operations.

Publisher

Faculty of Mechanical Engineering

Subject

Mechanical Engineering,Mechanics of Materials

Cited by 4 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

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2. Neural Network-Based Terminal Sliding Mode Controller Design for Manipulator Systems;Mechanisms and Machine Science;2024

3. Fuzzy Sliding-Mode Control for Robot Manipulators Based on Variable Universe;2023 IEEE 3rd International Conference on Digital Twins and Parallel Intelligence (DTPI);2023-11-07

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