Synthesis of a Fuzzy Regulator Based on a Numerical Experiment with a Control Object

E. D. Karnaukhov, N. Kalistratov, E. Mirgorodskaya, N. Mityashin, Y. Tomashevsky
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Abstract

The report describes the methodology for constructing fuzzy regulators based on the results of numerical experiments with mathematical models of nonlinear control objects. Examples of application of this methodology are considered. Such methodology is useful in the conditions of insufficient expert information in the design of new nonlinear devices, usually used to create fuzzy regulators. The required quality of object control is achieved due to parametric adaptation to the operating conditions of the objects (supply network, load), provided by the introduction of fuzzy regulators.
基于控制对象数值实验的模糊调节器综合
本文介绍了基于非线性控制对象数学模型的数值实验结果构建模糊调节器的方法。文中还考虑了这种方法的应用实例。这种方法在设计新的非线性装置(通常用于创建模糊调节器)时专家信息不足的情况下是有用的。通过引入模糊调节器,对对象(供电网络、负载)的运行条件进行参数适应,达到了目标控制所要求的质量。
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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