Study on a combined scheme by using T-S fuzzy and TSMC approaches

Sheng-Dong Xu, Yew-Wen Liang, Kuo-Chin Wang, Chih‐Chiang Chen
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Abstract

This study investigates the hybrid design by using the Takagi-Sugeno (T-S) fuzzy system modeling method and the Terminal Sliding Mode Control (TSMC) technique. The combined scheme is shown to have the merits of both approaches. The presented scheme can alleviate the on-line computational burden because T-S fuzzy model can approximate the original nonlinear system and some of the parameters can be off-line computed. Moreover, it can also preserve the advantages of TSMC, including rapid response, robustness to uncertainties and/or external disturbance, and guaranteeing the fast finite-time state convergence. The proposed method is applied to a two-link robot manipulator dynamics, and it is also compared to the combination of T-S fuzzy system and conventional Sliding Mode Control (SMC) design. Simulation results demonstrate the benefits of the proposed scheme.
基于T-S模糊和TSMC方法的组合方案研究
本研究采用Takagi-Sugeno (T-S)模糊系统建模方法和终端滑模控制(TSMC)技术研究混合设计。结果表明,该组合方案具有两种方法的优点。由于T-S模糊模型可以逼近原非线性系统,部分参数可以离线计算,减轻了在线计算量。此外,它还可以保持TSMC的优点,包括快速响应,对不确定性和/或外部干扰的鲁棒性,并保证快速的有限时间状态收敛。将所提出的方法应用于双连杆机器人机械臂动力学,并将其与T-S模糊系统与传统滑模控制(SMC)相结合的设计进行了比较。仿真结果验证了该方案的有效性。
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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