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A hybrid fuzzy sliding-mode control for a class of generalized, under-actuated and uncertain nonlinear dynamic systems

机译:一类广义,欠驱动和不确定非线性动力学系统的混合模糊滑模控制

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Due to the under-actuated feature, the reference signals using the combination of the system outputs, whose number is larger than that of reference signal, are designed so that the number of control inputs and sliding surfaces is the same, and that the uncontrollable mode is indirectly controlled. Under the uncertain environment, the sliding-mode under-actuated control (SMUC) with the satisfaction of suitable condition is designed to asymptotically track the reference signal. Otherwise, a bounded tracking result is obtained for the mild condition. In this situation, an on-line fuzzy modeling for the uncertainty is employed to design a fuzzy model-based sliding-mode under-actuated control (FSMUC) to improve the system performance; e.g., the bounded tracking result of SMUC becomes an asymptotical tracking. The proposed hybrid fuzzy sliding-mode under-actuated control (HFSMUC) combining SMUC and FSMUC with a transition can be applied to a class of generalized, under-actuated and uncertain nonlinear systems, e.g., the trajectory tracking control of a differential mobile robot (DMR). Finally, the simulations of the HFSMUC system are presented to confirm the efficiency and effectiveness of the proposed control.
机译:由于欠驱动特性,设计了使用系统输出的组合的参考信号,该系统输出的数量大于参考信号的数量,因此控制输入和滑动表面的数量相同,并且无法控制模式被间接控制。在不确定的环境下,设计满足条件的滑模欠驱动控制(SMUC)渐近跟踪参考信号。否则,将获得针对温和条件的有限跟踪结果。在这种情况下,采用不确定性的在线模糊模型来设计基于模糊模型的滑模欠驱动控制(FSMUC),以提高系统性能。例如,SMUC的有界跟踪结果将成为渐近跟踪。提出的将SMUC和FSMUC与过渡结合的混合模糊滑模欠驱动控制(HFSMUC)可应用于一类广义的,欠驱动和不确定的非线性系统,例如,差分移动机器人的轨迹跟踪控制( DMR)。最后,对HFSMUC系统进行了仿真,以确认所提出控制的效率和有效性。

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