Optimal Fuzzy Controller, using a Genetic Algorithm for a Ball on Wheel System

被引：0
|
作者：
Menich, Peter [1 ]
Kopjak, Jozsef [1 ]
机构：
[1] Obuda Univ, Kando Kalman Fac Elect Engn, Becsi Ut 96-B, H-1034 Budapest, Hungary
来源：
ACTA POLYTECHNICA HUNGARICA | 2023年 / 20卷 / 06期
关键词：
unstable; fuzzy; genetic algorithm; microcontroller; BLDC; simulink;
D O I：
暂无
中图分类号：
T [工业技术];
学科分类号：
08 ;
摘要：
The process of building a fuzzy controller for the Ball on Wheel problem raised an issue with the optimization of the controller parameters. For non-linear systems the parameter values of the controller are based on a subjective estimate and a trial-and-error approach. This is a time-consuming human task, which could be automated. The information obtained from the visualized simulation results gave us the opportunity to increase the controllable area, using a genetic algorithm (GA), by tuning the parameters of the fuzzy membership methods.
引用
收藏
页码：61 / 77
页数：17
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