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基于粒子群算法的纯电动轿车无刷直流电机控制器研究
Research for EV Brushless DC Motor Control Based on Particls Swarm Algorithm
【摘要】 采用一种基于粒子群算法的无刷直流电机PID控制器参数优化策略,给出了该算法的具体实现步骤。仿真与实验表明,相对于遗传算法和模拟退火算法,该方法在改进阶跃波响应性能方面,如减少稳态误差、无刷直流电机的速度控制中的上升时间、调整时间及最大超调量等方面,其效率更高。
【Abstract】 This paper presents a particls swarm search algorithm method for determining the optimal proportional integral derivative controller parameters,for speed control of brushless DC motor.Comparing with genetic algorithm and simulated annealing method,the proposed method was more efficient in improving the step response characteristics such as,reducing the steady-states error;rise time,settling time and maximum overshoot in speed control of brushless DC motor
- 【文献出处】 机械与电子 ,Machinery & Electronics , 编辑部邮箱 ,2011年01期
- 【分类号】U463.6
- 【被引频次】2
- 【下载频次】150