期刊文献+

基于蚁群算法的PID参数的二次整定和优化 被引量:4

Tuning and optimization of the PID parameters based on twice ant colony algorithms
下载PDF
导出
摘要 本文利用二次蚁群算法求解PID参数整定的优化问题,使PID参数寻优速度更快,同时又避免了一次蚁群算法在循环足够的次数后,优化速度已经很小的缺点,能够快速、准确地获得更优的比例、积分及微分参数值,该途径易于实现系统的动态性能指标,并且提高了寻优的速度和精度,实现了系统阶跃响应稳、准、快的性能指标。 The second ant colony algorithm is proposed to tune the PID parameters. This algorithm can not only optimize the PID parameter faster, avoiding low speed after circulating enough times of an ant colony algorithm, but also obtain accurate parameter values of proportional, integral and differential quickly. In a word, this algorithm can satisfy the dynamic performances efficiently indicators of the system, as well as improving the speed, the accuracy and the stability for a control system.
出处 《微计算机信息》 2009年第10期59-60,121,共3页 Control & Automation
关键词 PID控制器 二次蚁群算法 Ziegler—Nichols整定 PID controller twice ant colony algorithm Ziegler-Nichols tuning
  • 相关文献

参考文献6

  • 1段海滨.蚁群算法原理及其应用.北京:科学出版社,2006.7 被引量:3
  • 2刘金琨著..先进PID控制MATLAB仿真 第2版[M].北京:电子工业出版社,2004:470.
  • 3王春能,赵东风.基于增强学习算法的PID参数调整方法研究[J].微计算机信息,2007,23(28):58-59. 被引量:2
  • 4Dorigo M, Colorni A. The Ant system: optimization by a colony of cooperating agents [J]. IEEE Transactions on Systems, Man, and Cybernetics-Part B, 1996,26(1)29-41 被引量:1
  • 5Merkle D, Middendorf M. Fast ant colony optimization on runtime Reconfigurable processor arrays [J]. Genetic Programming and Evolvable Machine, 2002,3(4): 345-361 被引量:1
  • 6蒋玲艳,张军,钟树鸿.蚁群算法的参数分析[J].计算机工程与应用,2007,43(20):31-36. 被引量:32

二级参考文献28

  • 1任子武,伞冶,陈俊风.改进PSO算法及在PID参数整定中应用研究[J].系统仿真学报,2006,18(10):2870-2873. 被引量:42
  • 2朱学贵,王毅,昝建明.基于单纯形法的神经元PID控制器学习参数优化[J].系统仿真学报,2006,18(11):3030-3033. 被引量:6
  • 3陈丹,方康玲,陈乔礼.遗传算法在PID参数优化中的应用[J].微计算机信息,2007,23(03S):35-36. 被引量:22
  • 4Colorni A,Dorigo M,Maniezzo V,et al.Distributed optimization by ant colonies[C]//Proceedings of the 1st European Conference on Artificial Life,1991:134-142. 被引量:1
  • 5Dorigo M.Optimization,learning and algorithms[D].Department of Electronics,Politecnico diMilano,Italy,1992. 被引量:1
  • 6Dorigo M,Maniezzo V,Colorni A.Ant system:optimization by a colony of cooperating agents[J].IEEE Transaction of Systems,Man,and Cybernetics-Part B,1996,26(1):29-41. 被引量:1
  • 7Bonabeau E,Dorigo M,Theraulaz G.Inspiration for optimization from social insect behavior[J].Nature,2000,406(6):39-42. 被引量:1
  • 8Gutjahr W J.A generalized convergence result for the graph based ant system,Technical Report 99-09[R].Dept of Statistics and Decision Support Systems,University of Vienna,Austria,1999. 被引量:1
  • 9Gutjahr W J.A graph-based ant system and its convergence[J].Future Generation Computer Systems,2000,16(8):873-888. 被引量:1
  • 10Dorigo M,Gambardella L M.Ant Colony System:a cooperative learning approach to the traveling salesman problem[J].IEEE Transactions on Evolutionary Computation,1997,1 (1):53-66. 被引量:1

共引文献34

同被引文献16

引证文献4

二级引证文献5

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部