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一种基于遗传算法的多模型预测控制方案

刘桂英 山传文

北华大学学报(自然科学版)Issue(4):557-560,4.
北华大学学报(自然科学版)Issue(4):557-560,4.DOI:10.11713/j.issn.1009-4822.2014.04.032

一种基于遗传算法的多模型预测控制方案

Multiple Models Predictive Control Based on Genetic Algorithm

刘桂英 1山传文1

作者信息

  • 1. 北华大学电气信息工程学院,吉林 吉林 132021
  • 折叠

摘要

Abstract

In terms of the characteristics of time lag system,a method of multiple models predictive control based on genetic algorithm is proposed. Multiple models approach the dynamic character of the controlled object. Design corresponding controller to each model. By means of weighting, get final controlled variable with the limited controlled variable. Each controller adopts predictive control method. Get the global optimum by genetic algorithm. Compare the effect of PID in time lag system. Simulation result indicates the method not only can overcome inaccuracy of modeling and time variation of parameters,but also have good control performance and stronger robustness.

关键词

遗传算法/多模型/预测控制/时滞

Key words

genetic algorithm/multiple models/predictive control/time lag

分类

信息技术与安全科学

引用本文复制引用

刘桂英,山传文..一种基于遗传算法的多模型预测控制方案[J].北华大学学报(自然科学版),2014,(4):557-560,4.

基金项目

吉林省科技发展计划项目(20140415015JH) (20140415015JH)

北华大学学报(自然科学版)

OACSTPCD

1009-4822

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