学术论文

      基于改进自适应DE算法的分数阶PIλDμ参数优化

      Fractional order PIλDμparameters optimization based on improved adaptive DE algorithm

      摘要:
      通过实现变异算子F和交叉算子CR的自适应,改进差分进化算法.将改进后的算法用于优化直流电机位置伺服系统的分数阶PIλDμ控制器参数,并评价其位置阶跃响应性能.实验结果表明,对于分数阶PIλDμ参数的整定,相较于粒子群算法、遗传算法、传统差分进化算法,用改进差分进化算法优化后的控制系统具有响应速度快、超调量小等优点.
      Abstract:
      By realizing the adaptive of the mutation operator F and crossover operator CR, the im-proved differential evolution algorithm is proposed. The improved algorithm is used to optimize the frac-tional order PIλDμcontroller parameters of the DC motor position servo system and evaluate its position step response performance. The experimental results show that for the fractional order PIλDμ parameter tuning, compared with the particle swarm optimization algorithm, the genetic algorithm and the traditional differential evolution algorithm,the optimized control system with improved differential evolution algorithm has fast response speed and small overshoot.
      作者: 王璇 史乐珍
      Author: WANG Xuan SHI Lezhen
      作者单位: 南京工业大学 机械与动力工程学院,南京,211816
      年,卷(期): 2017, (6)
      分类号: TP273
      在线出版日期: 2018年1月4日