| 改进思维进化算法在过热汽温系统中的应用 |
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| 引用本文： | 焦嵩鸣,张宇,董泽,葛忠真.改进思维进化算法在过热汽温系统中的应用[J].华北电力大学学报,2008,35(1):37-40. |
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| 作者姓名： | 焦嵩鸣 张宇 董泽 葛忠真 |
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| 作者单位： | 1. 华北电力大学,控制科学与工程学院,河北,保定,071003
2. 大唐双鸭山热电有限公司,黑龙江,双鸭山,155134 |
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| 摘 要： | 应用改进的思维进化算法优化PID参数。思维进化算法的子群体间彼此独立操作,因此会有重复操作,重叠的区域,因而造成资源浪费。将小生境技术引入到思维进化算法。它对群体进行划分,减少重复搜索,保持群体的多样性,提高搜索效率。通过对具有严重参数不确定性、多扰动以及大迟延的电厂主汽温被控对象的仿真研究,结果表明:改进的思维进化算法寻优速度快,计算量小,对PID参数优化是非常有效的,使得主汽温控制系统取得了较好的控制品质,系统的鲁棒性比较强。
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| 关 键 词： | 思维进化算法 PID控制 小生境 主汽温 |
| 文章编号： | 1007-2690（2008）01-0037-04 |
| 收稿时间： | 2007-06-05 |
| 修稿时间： | 2007年6月5日 |
PID controller parameters optimization for the main steam temperature system based on improved mind evolutionary algorithm |
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| JIAO Song-ming,ZHANG Yu,DONG Ze,GE Zhong-zhen.PID controller parameters optimization for the main steam temperature system based on improved mind evolutionary algorithm[J].Journal of North China Electric Power University,2008,35(1):37-40. |
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| Authors: | JIAO Song-ming ZHANG Yu DONG Ze GE Zhong-zhen |
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| Abstract: | The improved mind evolutionary algorithm(MEA) was used to optimize the PID controller parameters.According to the defects lying in mind evolutionary algorithm,the niche technique is developed to improve MEA in this paper.The swarm is classified and reduced the searching zone,which keeps the swarm diversity and to speed up optimization.According to the delay phenomena that may appear in the particle swarm algorithm,the reboot strategy is introduced.The controlling of main steam temperature in power plant is studied.The simulation results show that the improved MEA is very effective. |
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| Keywords: | mind evolutionary algorithm PID control niche main steam temperature |
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