Adaptive sliding mode controller with monotonically nonincreasing gain for nonlinear uncertain systems

Kang-Bark Park, Jujang Lee
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引用次数: 3

Abstract

In this paper, the adaptive sliding mode controller (ASMC) is proposed for a class of nonlinear uncertain systems. Conventional adaptive robust control system and/or adaptive sliding mode control system could not give when the system shows invariance property against parameter uncertainties and external disturbances. Thus, although the initial system state is on the sliding surface, one can not ensure the occurrence of the sliding mode for the conventional adaptive sliding mode control systems; that is, the system state may leave the sliding surface even if the state hits the sliding surface. For the proposed ASMC, no a priori knowledge of the exact bounds for parameter uncertainties and external disturbances is needed because the proposed control scheme uses adaptive algorithm for bounds of the uncertainty. The overall system is shown to be globally asymptotically stable.
非线性不确定系统增益单调非递增的自适应滑模控制器
针对一类非线性不确定系统,提出了一种自适应滑模控制器。传统的自适应鲁棒控制系统和/或自适应滑模控制系统在参数不确定性和外界干扰下表现出不变性时无法给出控制结果。因此,对于传统的自适应滑模控制系统,虽然系统的初始状态在滑动面上,但不能保证滑模的发生;即系统状态即使碰到滑动面,也可能离开滑动面。对于所提出的ASMC,由于所提出的控制方案使用自适应算法来确定不确定性的边界,因此不需要先验地知道参数不确定性和外部干扰的确切边界。证明了整个系统是全局渐近稳定的。
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