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

Youyu Liu, Yi Li, Xuyou Zhang, Bo Chen
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引用次数: 1

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.
基于模糊等价和末端滑模的机械臂轨迹跟踪控制
为抑制机械臂在重载工况下的抖振,将模糊等效终端滑模控制方法应用于机械臂运动曲线的轨迹跟踪。在等效滑模切换项的基础上,引入了由简单模糊规则处理的模糊参数矩阵,得到了模糊切换项。通过将模糊切换项、等效项和终端滑模(ETSM)的等效项相加,得到了机器人FETSM的控制规律。在此基础上,分析了系统的稳定性,推导了系统的有限到达时间。在保证系统稳定性的前提下,对模糊切换项中的模糊常数设计了模糊规则和隶属函数。仿真实验表明,该方法能够保证足够的轨迹跟踪精度、误差收敛速度和鲁棒性。与ETSM相比,所提出的FETSM可将抖振时间平均减少94.75%;与比例-积分-微分(PID)控制相比,FETSM控制的最大抖振幅值至少降低了99.21%。因此,该方法适用于机械臂的重载作业。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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