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Design of Sliding Mode Control of Nonlinear System Based on Takagi-Sugeno Fuzzy Model

机译:基于Takagi-sugeno模糊模型的非线性系统滑模控制设计

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摘要

In this paper, a sliding mode control algorithm based on Takagi-Sugeno (T-S) fuzzy model for a class of nonlinear systems is discussed. For a complex physical system represented by an aggregated fuzzy global model which compromises a set of linear models, conditions for the fuzzy sliding mode control to stabilize the global fuzzy model are given. Firstly, we choose the sliding surface which gives a good behaviour during sliding mode. It is formulated as an assignment of the poles of uncertain nonlinear system in a convex optimization area. Secondly, we design a nonlinear control law leading the state trajectory on the sliding surface in a finite time. A numerical application of a flexible joint manipulator is given to validate the theoretical results of our approach.
机译:本文讨论了基于Takagi-Sugeno(T-S)模糊模型的一类非线性系统的滑模控制算法。对于由统治模糊全局模型表示的复杂物理系统,该模型妥协了一组线性模型,给出了模糊滑模控制的条件来稳定全局模糊模型。首先,我们选择滑动表面,在滑动模式下提供良好的行为。它被制定为凸优化区域中不确定非线性系统的极点的分配。其次,我们设计了一个非线性控制法,在有限的时间内导致滑动表面上的状态轨迹。给出了柔性联合机械手的数值应用来验证我们方法的理论结果。

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