Scheduled System Maintenance:
On May 6th, system maintenance will take place from 8:00 AM - 12:00 PM ET (12:00 - 16:00 UTC). During this time, there may be intermittent impact on performance. We apologize for the inconvenience.
By Topic

Optimization Research of PSO-PID Algorithm for the Design of Brushless Permanent Magnet Machines

Sign In

Cookies must be enabled to login.After enabling cookies , please use refresh or reload or ctrl+f5 on the browser for the login options.

The purchase and pricing options are temporarily unavailable. Please try again later.
2 Author(s)
Yu Ren ; Inst. of Software & Comput. Intell. Control, Hangzhou Dianzi Univ., Hangzhou ; Xiaobai Xu

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.

Published in:

Embedded Computing, 2008. SEC '08. Fifth IEEE International Symposium on

Date of Conference:

6-8 Oct. 2008