摘要
利用AMESim和Matlab/Simulink的各自优势,建立了一个液压伺服系统的联合仿真模型,采用自适应混合遗传算法对PID控制器的参数进行优化,自适应混合遗传算法即克服了遗传算法经常出现"早熟"收敛的现象,又克服了模拟退火算法对参数的苛刻要求。仿真实验表明:自适应混合遗传算法能提高寻优速度及寻优精度,整定的PID参数一致性好,能提高液压伺服系统的控制精度和速度。
The collaborative simulation model of the hydraulic servo system was built by applying the AMESim and Matlab/Simulink. The parameter of PID controller of the hydraulic servo control system was optimized by the adaptive hybrid genetic algorithm which overcomes the phenomenon of precocious convergence and the severe demand of the simulated annealing algorithm to the parameter. Simulation results show that this adaptive hybrid genetic algorithm can improve velocity and precision of seeking optimum solution. Controlling velocity and precision of the hydraulic system can be improved by applying the parameter of PID controller which is searched by the adaptive hybrid genetic algorithm.
出处
《机床与液压》
北大核心
2007年第10期122-124,共3页
Machine Tool & Hydraulics
