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Adaptive fuzzy sliding mode controller for Wheeled Mobile Robots

机译:轮式移动机器人的自适应模糊滑模控制器

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In this paper, perfect trajectory tracking control of a non-holonomic Wheeled Mobile Robot (WMR) is tackled. First, a Sliding Mode Controller (SMC) is proposed to convergence of WMR on desired position, velocity and orientation trajectories. Due to the weak performance of the SMC against exogenous inputs, a Mamdani-type fuzzy system is designed to improve the tracking performance of the controller. However, the Fuzzy SMC (FSMC) cannot remove the chattering phenomena completely. Therefore, a supervisory Adaptive FSMC (AFSMC) is proposed to suppress the chattering effects. The superiority of the adaptive approach to the non-adaptive methods has been revealed through simulations.
机译:在本文中,解决了非完整轮式移动机器人(WMR)的完美轨迹跟踪控制。首先,提出了一种滑模控制器(SMC)对所需位置,速度和方向轨迹的WMR收敛。由于SMC对外源性输入的弱性能,Mamdani型模糊系统旨在提高控制器的跟踪性能。但是,模糊SMC(FSMC)无法完全消除抖动现象。因此,提出了一种监督自适应FSMC(AFSMC)来抑制抖动效果。通过仿真揭示了自适应方法的优越性。

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