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A multirule-base controller using the robust property of a fuzzy controller and its design method

机译:利用模糊控制器的鲁棒性的多规则控制器及其设计方法

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This paper suggests a new fuzzy adaptive controller, which is able to solve the problems of classical adaptive controllers and conventional fuzzy adaptive controllers. It explains the architecture of a fuzzy adaptive controller using the robust property of a fuzzy controller. The basic idea of new adaptive control scheme is that an adaptive controller can be constructed with parallel combination of robust controllers. This new adaptive controller uses a multirule-base architecture which has several independent fuzzy controllers in parallel, each with different robust stability area. Out of several independent fuzzy controllers, the most suited one is selected by a system identifier which observes variations in the controlled system parameter. Here, we propose a design procedure which can be carried out mathematically and systematically from the model of a controlled system; related mathematical theorems and their proofs are also given. The performance of the proposed adaptive control algorithm is analyzed through a design example and a DC motor control simulation.
机译:本文提出了一种新型的模糊自适应控制器,它能够解决经典自适应控制器和常规模糊自适应控制器的问题。它利用模糊控制器的鲁棒性来解释模糊自适应控制器的体系结构。新的自适应控制方案的基本思想是,可以将鲁棒控制器的并行组合构造为自适应控制器。这种新的自适应控制器使用基于多规则的体系结构,该体系结构具有多个并行并行的独立模糊控制器,每个控制器具有不同的鲁棒稳定性区域。在几个独立的模糊控制器中,最适合的一个是由系统标识符选择的,该标识符观察受控系统参数的变化。在这里,我们提出了一种设计程序,该程序可以从受控系统的模型中进行数学和系统地执行。还给出了相关的数学定理及其证明。通过设计实例和直流电动机控制仿真分析了提出的自适应控制算法的性能。

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