首页 | 本学科首页   官方微博 | 高级检索  
     

基于模拟退火遗传算法的PID控制器参数优化
引用本文:胡斐,赵治国.基于模拟退火遗传算法的PID控制器参数优化[J].机械与电子,2010(10):23-24.
作者姓名:胡斐  赵治国
作者单位:同济大学汽车学院,上海,201804
摘    要:针对遗传算法存在容易早熟的不足,将模拟退火算法融合到遗传算法中,建立了模拟退火遗传算法,并将其应用于PID控制器的参数优化.结果表明,将模拟退火算法融合到遗传算法中是有效的,基于模拟退火遗传算法的PID控制器参数优化是可行的.

关 键 词:遗传算法  模拟退火  PID控制器  参数优化

Optimization for Parameters of PID Controller Based on Simulated Annealing Genetic Algorithm
HU Fei,ZHAO Zhi-guo.Optimization for Parameters of PID Controller Based on Simulated Annealing Genetic Algorithm[J].Machinery & Electronics,2010(10):23-24.
Authors:HU Fei  ZHAO Zhi-guo
Affiliation:(College of Automotive Engineering,Tongji University,Shanghai 201804,China)
Abstract:Considering the defect of being prone to be premature convergence for genetic algorithm(GA),simulated annealing algorithm(SA) is integrated with it.Then the simulated annealing genetic algorithm is developed and applied to the optimization.The results show the effectiveness of the integration and the simulated annealing genetic algorithm.
Keywords:genetic algorithm  simulated annealing  PID controller  parameters optimization
本文献已被 CNKI 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号