Computer-aided design of the fuzzy control system using the genetic algorithm

V. Meshcheryakov, L. Denisova
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引用次数: 4

Abstract

This paper presents the computer-aided design procedure of the automatic control system (ACS) on the basis of fuzzy logic. The genetic algorithm based approach to design of the fuzzy control system on the chosen quality criterion is considered. The mathematical model of the fuzzy logic based pulse control system is suggested, that is developed with MATLAB/ Simulink/ Fuzzy Logic Toolbox. The results of the synthesis of the fuzzy logic based control systems derived using MATLAB / Global Optimization Toolbox are given. As a result two approaches to the fuzzy controller synthesis have been considered: (1) with adjustable membership functions, (2) with membership functions fixed by an expert and with adjustment of input and output scale factors. It is shown that the second approach is preferable to the first, because it is simpler to implement and reduces the time required for setting the controller parameters.
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利用遗传算法对模糊控制系统进行计算机辅助设计
本文介绍了基于模糊逻辑的自动控制系统(ACS)的计算机辅助设计过程。提出了基于遗传算法的模糊控制系统设计方法。提出了基于模糊逻辑的脉冲控制系统的数学模型,并利用MATLAB/ Simulink/模糊逻辑工具箱进行了开发。给出了利用MATLAB /全局优化工具箱对基于模糊逻辑的控制系统进行综合的结果。因此,考虑了两种模糊控制器综合的方法:(1)具有可调节的隶属度函数,(2)由专家确定隶属度函数,并可调节输入和输出比例因子。结果表明,第二种方法优于第一种方法,因为它更容易实现并减少了设置控制器参数所需的时间。
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