杨小芹, 唐雪萍. 不确定对象的PID参数整定研究[J]. 南昌航空大学学报(自然科学版), 2011, 25(1): 33-37.
引用本文: 杨小芹, 唐雪萍. 不确定对象的PID参数整定研究[J]. 南昌航空大学学报(自然科学版), 2011, 25(1): 33-37.
YANG Xiao-qin, TANG Xue-ping. Research on Tuning of PID Parameters for Uncertain Object[J]. Journal of nanchang hangkong university(Natural science edition), 2011, 25(1): 33-37.
Citation: YANG Xiao-qin, TANG Xue-ping. Research on Tuning of PID Parameters for Uncertain Object[J]. Journal of nanchang hangkong university(Natural science edition), 2011, 25(1): 33-37.

不确定对象的PID参数整定研究

Research on Tuning of PID Parameters for Uncertain Object

  • 摘要: 在PID参数整定问题中,对象的模型参数会在一定变化范围内变化.文章针对该问题提出了一种基于最小最大原理的PID参数整定方法.文章采用一种改进的遗传算法作为外层搜索方法以及单纯形法优化内层寻优的方法.在改进遗传算法引入了"最优保留"策略、算术杂交及自适应高斯变异算子.仿真结果表明按该方法设计的控制器是有效可行的.这种设计方法既提高了算法全局收敛能力,加快了收敛速度,也提高了系统的鲁棒性.

     

    Abstract: In the PID parameters tuning problems,the object of model parameters will often change in certain extent.Aiming at this problem,the minimum maximum principle of PID parameters tuning method was proposed.An improved genetic algorithm as outer search method and a simplex optimization lining optimal method were adopted.The genetic algorithm adopts elitist strategy,arithmetic crossover and improved adaptive Gaussian mutation operator.The results show that the controller designed by the proposed algorithm is effective and feasible.The design improves the global convergence,the convergence speed and the robustness of the system.

     

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