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Design and implementation of a reduced rule fuzzy logic PID controller

机译:降规则模糊逻辑PID控制器的设计与实现

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This paper investigates the design and implementation of a reduced rule PID fuzzy logic controller. Fuzzy logic PD and PI controllers are effective for many control problems but lack the advantages of the fuzzy PID controller. Fuzzy controllers use a rule base to describe relationships between the input variables and output. Implementation of a detailed rule base increases in complexity as the number of input variables grow. For example, a PID controller with three inputs needs 343 (7*7*7) rules if each input has 7 fuzzy sets. The implementation of a controller with such a large rule base is a tedious task. We propose a reduced rule fuzzy logic PID controller which takes advantage of the properties of the fuzzy PI and PD controllers. The effectiveness of the reduced rule PID fuzzy controller is illustrated with numerical examples.
机译:本文研究了简化规则的PID模糊逻辑控制器的设计与实现。模糊逻辑PD和PI控制器对于许多控制问题均有效,但缺乏模糊PID控制器的优点。模糊控制器使用规则库来描述输入变量和输出之间的关系。随着输入变量数量的增加,详细规则库的实现会增加复杂性。例如,如果每个输入具有7个模糊集,则具有三个输入的PID控制器需要343(7 * 7 * 7)条规则。具有如此大的规则库的控制器的实现是一项繁琐的任务。我们提出了一种简化规则的模糊逻辑PID控制器,该控制器利用了模糊PI和PD控制器的特性。数值算例说明了简化规则PID模糊控制器的有效性。

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