| 基于蚁群算法的无刷直流电机PID控制器测试系统 |
| |
| 引用本文： | 王国伟.基于蚁群算法的无刷直流电机PID控制器测试系统[J].电子技术,2010,47(4):64-66. |
| |
| 作者姓名： | 王国伟 |
| |
| 作者单位： | 安徽大学电子科学与技术学院 |
| |
| 摘 要： | 本文采用了一种基于蚁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、调整时间以及其最大超调量等方面,其效率更高
|
| 关 键 词： | 蚁群算法 比例积分微分控制器 无刷直流电机 |
Ant Colony Algorithm Based Brushless DC Motor PID Control Testing System |
| |
| Wang Guowei.Ant Colony Algorithm Based Brushless DC Motor PID Control Testing System[J].Electronic Technology,2010,47(4):64-66. |
| |
| Authors: | Wang Guowei |
| |
| Affiliation: | School of Electronic Science and Technology;Anhui University |
| |
| Abstract: | This paper presents a parameter optimization strategy for brushless DC motor PID controller based on Ant Colony algorithm and gives the concrete implementation procedure of that algorithm. Comparing with Genetic Algorithm and Simulated Annealing method, the proposed method is more efficient in improving the step response characteristics, such as reducing the steady-state error, reducing the rise time, settling time, and maximum overshoot in speed control of brushless DC motor |
| |
| Keywords: | ant colony algorithm(ACA) PID controller brushless DC motor |
| 本文献已被 CNKI 维普 万方数据 等数据库收录！ |
