基于遗传算法优化的模糊PID在粉末液压机伺服系统的应用研究
|
摘要
CNC粉末冶金液压机电液伺服系统具有时变性、易受干扰等特点,运用常规的PID控制难以达到满意的控制效果。运用模糊PID控制实现对PID参数的在线自适应整定,提高了PID控制器对电液伺服系统的调节控制能力。为了进一步提高模糊PID控制器的控制性能,采用遗传算法对模糊PID控制器的初始PID参数和比例因子进行了优化。仿真结果表明:基于遗传算法优化的模糊PID控制器在CNC粉末冶金液压机电液伺服系统的控制中具有良好的自适应性、鲁棒性和稳定性。
CNC powder metallurgy hydraulic machine’s electro-hydraulic servo system is time-varying and susceptible to interference,it is difficult to obtain satisfying control performance w ith conventional PID.Using fuzzy-PID makes the PID parameter have the ability of on-line adoptive adjustment and improves the performance of PID controller in the electro-hydraulic servo control system.In order to improve further the control performance of fuzzy-PID controller,genetic algorithm is used to optimize the initial PID parameter and scale factors of fuzzy-PID controllor.Simulation results show that the fuzzyPID controller optimized by genetic algorithm has good adoptability、robustness and stability in the electro-hydraulic servo control system of CNC CNC pow der metallurgy hydraulic machine.
CNC powder metallurgy hydraulic machine’s electro-hydraulic servo system is time-varying and susceptible to interference,it is difficult to obtain satisfying control performance w ith conventional PID.Using fuzzy-PID makes the PID parameter have the ability of on-line adoptive adjustment and improves the performance of PID controller in the electro-hydraulic servo control system.In order to improve further the control performance of fuzzy-PID controller,genetic algorithm is used to optimize the initial PID parameter and scale factors of fuzzy-PID controllor.Simulation results show that the fuzzyPID controller optimized by genetic algorithm has good adoptability、robustness and stability in the electro-hydraulic servo control system of CNC CNC pow der metallurgy hydraulic machine.
引文
[1]徐波.粉末冶金CNC液压机控制系统仿真分析[D].合肥:合肥工业大学,2010.
[2]周明,孙树栋.遗传算法原理及应用[M].北京:人民邮电出版社,1996.
[3]陈国良,王煦法,庄镇泉,等.遗传算法及应用[M].北京:人民邮电出版社,1996.
[4]Leether Yao,Willian A Sethaves.Nonlinear parameter esti-mation via the genetic algorithm[J].IEEE Transaction onSignal Processing,1994,42(4):927-935.
[5]王小平,曹立明.遗传算法理论、应用于软件实现[M].西安:西安交通大学出版社,2002.
[6]Srinvas M,Patnaik L M.Adaptive Probabilities of Crossoverand Mutation in Genetic algorithm[J].IEEE Trans on Sys-tems,Man and Cybernetics,1994,24(4).
[7]刘勇,康立山,陈镇屏.非线性并行运算-遗传算法(第2版)[M].北京:科学出版社,1995.
[8]杨叔子,杨克冲.机械工程控制基础[M].武汉:华中科技大学出版社,2002.
[9]韩江,余仲元,何高清,等.模糊自适应PID控制在数控精密校直机电液伺服系统中的应用研究[J].组合机床与自动化加工技术,2009(8):54-56.
[2]周明,孙树栋.遗传算法原理及应用[M].北京:人民邮电出版社,1996.
[3]陈国良,王煦法,庄镇泉,等.遗传算法及应用[M].北京:人民邮电出版社,1996.
[4]Leether Yao,Willian A Sethaves.Nonlinear parameter esti-mation via the genetic algorithm[J].IEEE Transaction onSignal Processing,1994,42(4):927-935.
[5]王小平,曹立明.遗传算法理论、应用于软件实现[M].西安:西安交通大学出版社,2002.
[6]Srinvas M,Patnaik L M.Adaptive Probabilities of Crossoverand Mutation in Genetic algorithm[J].IEEE Trans on Sys-tems,Man and Cybernetics,1994,24(4).
[7]刘勇,康立山,陈镇屏.非线性并行运算-遗传算法(第2版)[M].北京:科学出版社,1995.
[8]杨叔子,杨克冲.机械工程控制基础[M].武汉:华中科技大学出版社,2002.
[9]韩江,余仲元,何高清,等.模糊自适应PID控制在数控精密校直机电液伺服系统中的应用研究[J].组合机床与自动化加工技术,2009(8):54-56.