控制增益符号未知的非仿射系统模糊自适应控制增强

2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA) Pub Date : 2015-12-01 DOI:10.1109/STA.2015.7505141

K. Khettab, Y. Bensafia, S. Ladaci

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引用次数: 6

摘要

本文提出了一种模糊自适应控制器方案，利用模糊系统实时估计系统动态。针对一类模型和控制增益符号未知的非线性SISO系统进行了控制器设计。这样的控制设计成为一个真正的挑战，如果系统是非仿射的，通常不可能通过反转。利用均值理论使系统模型在控制中仿射，并引入Nussbaum函数来获得控制增益符号的估计，从而解决了这一问题。仿真实例说明了该控制策略所实现的性能提升。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Fuzzy adaptive control enhancement for non-affine systems with unknown control gain sign

A fuzzy adaptive controller scheme is presented in this work, where the system dynamics are estimated in real time by mean of fuzzy systems. The controller design is dedicated to a class of nonlinear SISO systems with unknown model and control gain sign. Such a control design becomes a true challenge, and generally impossible via the inversion if the system is non-affine. This problem is resolved by using the mean value theory to render the system model affine in the control and introducing a Nussbaum function in order to obtain an estimation of the control gain sign. A simulation example illustrates the performance enhancement realized by the present control strategy.

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2015 16th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA)

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