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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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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: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。对于以折衷于一组线性模型的集合模糊全局模型为代表的复杂物理系统,给出了用于稳定全局模糊模型的模糊滑模控制的条件。首先,我们选择在滑动模式下具有良好性能的滑动表面。它被公式化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律,在有限的时间内引导状态轨迹在滑动表面上。给出了柔性关节机械手的数值应用,以验证我们方法的理论结果。

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