Title :
Optimization Research of PSO-PID Algorithm for the Design of Brushless Permanent Magnet Machines
Author :
Ren, Yu ; Xu, Xiaobai
Author_Institution :
Inst. of Software & Comput. Intell. Control, Hangzhou Dianzi Univ., Hangzhou
Abstract :
Aiming at a complicated coupling and non-linear brushless DC motor (BLDCM) servo system, the conventional algorithms have many disadvantages, such as less precision, lower speed response. Taking the mechanical characteristics of BLDCM into consideration, an improved particle swarm optimization algorithm is presented in this paper, which is applied in the speed control of the Brushless DC Motor (BLDCM) servo system. Firstly, an improved Particle Swarm Optimization algorithm is introduced. Secondly, the way of finding PID coefficient will be studied by using this algorithm. Finally, the mathematical model of the servo system speed control is built by MATLAB/Simulink.
Keywords :
brushless DC motors; machine control; particle swarm optimisation; permanent magnet motors; servomotors; three-term control; velocity control; PSO-PID algorithm; brushless DC motor servo system; brushless permanent magnet machine design; particle swarm optimization algorithm; speed control; Algorithm design and analysis; Brushless DC motors; Couplings; Design optimization; MATLAB; Mathematical model; Particle swarm optimization; Permanent magnet machines; Servomechanisms; Velocity control; Brushless DC Motor; Particle Swarm Optimization; group best; personal best; robustness;
Conference_Titel :
Embedded Computing, 2008. SEC '08. Fifth IEEE International Symposium on
Conference_Location :
Beijing
Print_ISBN :
978-0-7695-3348-3
DOI :
10.1109/SEC.2008.40
