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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
引用本文:吕召全,唐程光,华从波.基于粒子群算法的纯电动轿车无刷直流电机控制器研究[J].机械与电子,2011(1):10-12.
作者姓名:吕召全  唐程光  华从波
作者单位:安徽江淮汽车股份有限公司技术中心,安徽,合肥,230022
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。

关 键 词:纯电动轿车  粒子群算法  PID  无刷直流电机

Research for EV Brushless DC Motor Control Based on Particls Swarm Algorithm
LV Zhao-quan,TANG Cheng-guang,HUA Cong-bo.Research for EV Brushless DC Motor Control Based on Particls Swarm Algorithm[J].Machinery & Electronics,2011(1):10-12.
Authors:LV Zhao-quan  TANG Cheng-guang  HUA Cong-bo
Affiliation:(Automotive Technology Academy of Anhui Jianghuai Automotive Co.,Ltd.,Hefei 230022,China)
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
Keywords:PID
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