Dual Observer-Based Model-Free Adaptive I/O Constrained Control for MIMO Nonlinear Systems

Weiming Zhang, Dezhi Xu, Weilin Yang, Jianxing Liu, Fei Hua
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Abstract

In this paper, a dual observer based model-free adaptive control strategy is designed for multiple input multiple output (MIMO) nonlinear systems with disturbances and input/output (I/O) constraints. The dual observers consists of an adaptive observer and a discrete extended state observer, in which the former is designed to realize the dynamic reconfiguration of the system and devise the Lyapunov stability criterion-based estimation algorithm for time-varying parameters, and the latter is explored for composite disturbance estimation. Based on the information from dual observers, a dynamic anti-windup compensator along with an improved prescribed performance control method are proposed in the sliding mode controller to solve the I/O constraint problem. Finally, the stability analysis and simulation are supplied for performance verification.
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基于双观测器的MIMO非线性系统无模型自适应I/O约束控制
针对具有干扰和输入/输出(I/O)约束的多输入多输出非线性系统,设计了一种基于双观测器的无模型自适应控制策略。双观测器由自适应观测器和离散扩展状态观测器组成,其中自适应观测器用于实现系统的动态重构,设计基于Lyapunov稳定性准则的时变参数估计算法,扩展状态观测器用于复合扰动估计。基于双观测器的信息,在滑模控制器中提出了一种动态抗卷绕补偿器和改进的规定性能控制方法来解决I/O约束问题。最后进行了稳定性分析和仿真,验证了系统的性能。
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