Simulation and optimization of electric machine based on SIMULINK and genetic algorithm

Long Chen, Guoli Li, Xing Qi, Qunjing Wang
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引用次数: 1

Abstract

The setting of PID parameters is an extremely important problem in the field of automatic control. In this paper, a genetic algorithm is illustrated using MATLAB and SIMULINK to improve the dynamic performance of vector control induction motor. Combining SIMULINK with genetic algorithm shows the correctness and effectiveness of the model of SIMULINK system simulation, and verifies that the performance of the system vector parameters of genetic algorithm optimization of the control system is better than that of the conventional controller.
基于SIMULINK和遗传算法的电机仿真与优化
PID参数整定是自动控制领域中一个极其重要的问题。本文利用MATLAB和SIMULINK对遗传算法进行了阐述,以改善矢量控制异步电动机的动态性能。将SIMULINK与遗传算法相结合,验证了SIMULINK系统仿真模型的正确性和有效性,并验证了遗传算法优化控制系统的系统矢量参数性能优于传统控制器。
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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