PSO based on-line optimization for DC motor speed control

被引：0
|
作者：
Palma, Luis Brito [1 ,2 ]
Coito, Fernando Vieira [1 ,2 ]
Ferreira, Bruno Gomes [1 ]
Gil, Paulo Sousa [1 ,3 ]
机构：
[1] Univ Nova Lisboa, FCT DEE, P-2829516 Caparica, Portugal
[2] Uninova CTS, P-2829516 Caparica, Portugal
[3] Cisuc Coimbra, P-2829516 Caparica, Portugal
来源：
PROCEEDINGS 2015 9TH INTERNATIONAL CONFERENCE ON CAMPATIBILITY AND POWER ELECTRONICS (CPE) | 2015年
关键词：
PERFORMANCE;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
In this paper, an on-line optimization approach based on particle swarm optimization (PSO) for DC motor speed control is proposed. Here, the main idea is to design speed controllers, discovering on-line the gains. In this work both PID controllers and sliding mode controllers (SMC) are considered. The main contributions are the optimization approach based on the minimization of an objective (cost) function based on different indexes including the Harris index, and the on-line serialization of the parallel PSO optimization scheme. In order to show the performance, simulation results with a nonlinear neural model of the Feedback setup with the DC motor 63-110 are presented.
引用
收藏
页码：301 / 306
页数：6
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