LMPM position control with Luenberger observer using genetic algorithms

T. Radicová, M. Zalman
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引用次数: 1

Abstract

Linear motors tend to be indispensable at present. Whether they are utilize in health service or in automation industry. It is certain that companies is always looking for something `more' and linear motors have it. Therefore the aim of this paper is to find better solution for introduced task. How to achieve higher precision in LMPM position control? How to adjust optimal controller parameters? This paper contains answers for more than these questions and in addition compares in more detail Pole-placement method with genetic algorithm, as well.
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Luenberger观测器LMPM位置控制的遗传算法
目前,直线电机是不可缺少的。无论是在卫生服务还是在自动化行业中使用。可以肯定的是,公司总是在寻找“更多”的东西,直线电机有它。因此,本文的目的是为引入的任务找到更好的解决方案。如何在LMPM位置控制中实现更高的精度?如何调整最优控制器参数?本文不仅给出了这些问题的答案,还对极点放置法和遗传算法进行了详细的比较。
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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