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Adaptive sliding mode controller design based on T-S fuzzy system models

机译:基于T-S模糊系统模型的自适应滑模控制器设计

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摘要

Ail adaptive sliding mode control (ASMC) technique based on T-S fuzzy system models is proposed in this paper for a class of perturbed nonlinear MIMO dynamic systems in order to solve tracking problems. A T-S fuzzy model is firstly formed by utilizing fuzzy theorem to amalgamate a set of linearized dynamic equations. The adaptive sliding mode controller is then designed based on this fuzzy model with perturbations. The proposed control scheme can drive the dynamics of controlled system into a designated sliding surface in finite time, and guarantee the property of asymptotical stability. It is also shown that the information of upper bound of modeling errors as well as perturbations, except the information of upper bound of input uncertainty, is not required when using the proposed controller. (c) 2006 Elsevier Ltd. All rights reserved.
机译:针对一类被摄动的非线性MIMO动态系统,提出了一种基于T-S模糊系统模型的自适应滑模控制(ASMC)技术,以解决跟踪问题。首先利用模糊定理对一组线性化的动力学方程进行融合,形成T-S模糊模型。然后,基于带有扰动的模糊模型来设计自适应滑模控制器。所提出的控制方案可以在有限的时间内将受控系统的动力学特性带入指定的滑动面,并保证其渐近稳定性。还显示出,当使用所提出的控制器时,除了输入不确定性的上限信息之外,不需要建模误差和扰动的上限信息。 (c)2006 Elsevier Ltd.保留所有权利。

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