On fuzzy model reference adaptive control systems: full-state feedback and output feedback

F. Leung, H.K. Lam, P. Tam
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引用次数: 1

Abstract

The problem of model reference adaptive control (MRAC) for nonlinear time-varying plants based on a fuzzy model is addressed. It is known that this kind of plants can readily be described by a fuzzy model. To tackle the plant parameter variations, an adaptive algorithm is derived to tune a designed fuzzy controller such that the system output follows a desired output from a reference fuzzy plant model. The stability of the closed-loop system is guaranteed. Cases of full-state feedback and output feedback are to be investigated. The results and merits of the proposed algorithms are illustrated by an example for each case.
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模糊模型参考自适应控制系统:全状态反馈与输出反馈
研究了基于模糊模型的非线性时变对象模型参考自适应控制问题。众所周知,这类植物可以很容易地用模糊模型来描述。为了解决植物参数的变化,推导了一种自适应算法来调整设计的模糊控制器,使系统输出遵循参考模糊植物模型的期望输出。保证了闭环系统的稳定性。研究了全状态反馈和输出反馈的情况。通过实例说明了所提算法的结果和优点。
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