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

机译:使用T-S模糊和TSMC方法研究组合方案

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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.
机译:本研究通过使用Takagi-Sugeno(T-S)模糊系统建模方法和终端滑模控制(TSMC)技术来研究混合动力设计。 组合方案被证明具有两种方法的优点。 所提出的方案可以缓解在线计算负担,因为T-S模糊模型可以近似原始非线性系统,并且一些参数可以脱机计算。 此外,还可以保留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,并保证快速有限时间的趋势。 所提出的方法应用于双链路机器人操纵器动力学,并且还与T-S模糊系统和传统滑模控制(SMC)设计的组合进行了比较。 仿真结果展示了拟议方案的好处。

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