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Parallel distributed fuzzy sliding mode control for nonlinear mismatched uncertain systems

机译:非线性不匹配不确定系统的并行分布模糊滑模控制

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摘要

A new design approach of a parallel distributed fuzzy sliding mode controller for nonlinear systems with mismatched time varying uncertainties is presented in this paper. The nonlinear system is approximated by the Takagi-Sugeno fuzzy linear model. The approximation error between the nonlinear system and the fuzzy linear model is considered as one part of the uncertainty in the uncertain nonlinear system. The time varying uncertainties are assumed to have the format which enables the design of the coefficient matrix of the sliding function to satisfy a sliding coefficient matching condition. With the sliding coefficient matching condition satisfied, a parallel distributed fuzzy sliding mode controller (PDFSC) is designed. The stability and the sliding mode of the fuzzy sliding control system are guaranteed. Also, the nonlinear system is shown to be invariant on the sliding surface. Moreover, the chattering around the sliding surface in the sliding mode control can be reduced by the proposed design approach. Simulation results are included to illustrate the effectiveness of the proposed fuzzy sliding mode controller.
机译:提出了一种具有不确定匹配时变不确定性的非线性系统的并行分布模糊滑模控制器的新设计方法。非线性系统由Takagi-Sugeno模糊线性模型近似。非线性系统与模糊线性模型之间的近似误差被认为是不确定非线性系统不确定性的一部分。假设时变不确定性具有使得滑动函数的系数矩阵的设计能够满足滑动系数匹配条件的格式。在满足滑动系数匹配条件的前提下,设计了并行分布式模糊滑模控制器(PDFSC)。保证了模糊滑模控制系统的稳定性和滑模状态。同样,非线性系统在滑动表面上是不变的。此外,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。仿真结果被包括来说明所提出的模糊滑模控制器的有效性。

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