基于改进自适应DE算法的分数阶PI~λD~μ参数优化

Fractional order PI~λD~μ parameters optimization based on improved adaptive DE algorithm

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PI~λD~μ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PI~λD~μ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。

By realizing the adaptive of tlie mutation operator F and crossover oproved deferential evolution algoritlim is proposed. The improved algoritlim is used to optimize the frac-tional order PIλDμ controller parameters of the DC motor position servo system and evaluate its positionstep response performance. The experimental results show that for the fractional order PIλDμ parametertuning, compared with the particle swarm optimization algorithm, the genetic algorithm and the traditionaldifferential evolution algorithm, the optimized control system with improved differential evolution algorithm hasfastresponsespeedandsmallovershoot.