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Adaptive fuzzy sliding mode controller for linear systems with mismatched time-varying uncertainties

机译:时变不确定性不匹配的线性系统的自适应模糊滑模控制器

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摘要

A new design approach for an adaptive fuzzy sliding mode controller (AFSMC) for linear systems with mismatched time-varying uncertainties is presented. The coefficient matrix of the sliding function can be designed to satisfy a sliding coefficient matching condition provided time-varying uncertainties are bounded. With the sliding coefficient matching condition satisfied, an AFSMC is proposed to stabilize the uncertain system. The parameters of output fuzzy sets in the fuzzy mechanism are on-line adapted to improve the performance of the fuzzy sliding mode control system. The bounds of uncertainties are not required to be known in advance for the AFSMC. Stability of the fuzzy control system is guaranteed and the system is shown to be invariant on the sliding surface. Moreover, chattering around the sliding surface in sliding mode control can be reduced by the proposed design approach. Simulation results are included to illustrate the effectiveness of the proposed AFSMC.
机译:针对时变不确定性不匹配的线性系统,提出了一种自适应模糊滑模控制器(AFSMC)的新设计方法。可以将滑动函数的系数矩阵设计为满足时变不确定性有界的滑动系数匹配条件。在满足滑移系数匹配条件的情况下,提出了一种AFSMC来使不确定系统稳定。在线调整模糊机构中输出模糊集的参数,以提高模糊滑模控制系统的性能。 AFSMC不需要事先知道不确定性的范围。模糊控制系统的稳定性得到保证,并且该系统在滑动表面上显示为不变的。而且,通过所提出的设计方法可以减少在滑动模式控制中在滑动表面周围的颤动。仿真结果被包括以说明所提出的AFSMC的有效性。

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