Optimization Research of PSO-PID Algorithm for the Design of Brushless Permanent Magnet Machines
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.
Yu Ren Xiaobai Xu
Institute of Software and Computer Intelligent Control,Hangzhou Dianzi University,310018,Hangzhou,Zhejiang
国际会议
The Fifth IEEE International Symposium on Embedded Computing(SEC 2008)(第五届IEEE国际嵌入式系统计算会议)
北京
英文
26-30
2008-10-06（万方平台首次上网日期，不代表论文的发表时间）