一类非线性时滞系统的改进鲁棒无模型自适应控制方法

Shida Liu, Z. Hou, Yuan Guo, Lei Guo
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引用次数: 7

摘要

针对一类既有大时滞又有扰动的离散非线性系统,提出了一种新的鲁棒无模型自适应控制(Ro-MFAC)算法。Ro-MFAC的主要特点是控制器的设计仅基于系统的输入和输出数据,采用了一种新的动态线性化技术,具有时变参数,称为伪梯度。此外,通过结合一种新型增广伪梯度,Ro-MFAC可以有效抑制系统扰动,从而使Ro-MFAC具有较强的鲁棒性。同时,通过使用跟踪微分器,Ro-MFAC控制器还可以处理系统中存在的时间延迟。数值仿真结果验证了所提Ro-MFAC的有效性。
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A Novel Modified Robust Model-Free Adaptive Control Method for a Class of Nonlinear Systems with Time Delay
In this work, a novel robust model free adaptive control (Ro-MFAC) algorithm is proposed for a class of discrete nonlinear systems existing both large time delay and disturbance. The main feather of Ro-MFAC is that the controller is designed only based on the input and output data of the system by using a new dynamic linearization technique with a time-varying parameter termed pseudo gradient. Moreover, by combining a novel augmented pseudo gradient, the Ro-MFAC can effectively suppress the system disturbance, such that the Ro-MFAC has strong robustness. Meanwhile, by using the tracking differentiators, the Ro-MFAC controller can also deal with the time delay existing in the system. Furthermore, the numerical simulation results verify the effectiveness of proposed Ro-MFAC.
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