A PSO-Based Optimum Design of PID Controller for a Linear Brushless DC Motor

被引：0
|
作者：
Nasri, Mehdi [1 ]
Nezamabadi-Pour, Hossein [2 ]
Maghfoori, Malihe [2 ]
机构：
[1] Shahid Bahonar Univ Kerman, Kerman, Iran
[2] Shahid Bahonar Univ Kerman, Dept Elect Engn, Kerman, Iran
来源：
PROCEEDINGS OF WORLD ACADEMY OF SCIENCE, ENGINEERING AND TECHNOLOGY, VOL 20 | 2007年 / 20卷
关键词：
Brushless DC motor; Particle swarm optimization; PID Controller; Optimal control;
D O I：
暂无
中图分类号：
TP39 [计算机的应用];
学科分类号：
081203 ; 0835 ;
摘要：
This Paper presents a particle swarm optimization (PSO) method for determining the optimal proportional-integral-derivative (PID) controller parameters, for speed control of a linear brushless DC motor. The proposed approach has superior features, including easy implementation, stable convergence characteristic and good computational efficiency. The brushless DC motor is modelled in Simulink and the PSO algorithm is implemented in MATLAB. Comparing with Genetic Algorithm (GA) and Linear quadratic regulator (LQR) 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 a linear brushless DC motor.
引用
收藏
页码：211 / +
页数：2
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