计算机与数字工程2012，Vol.40Issue(2)：26-28,49,4.
基于粒子群算法的自抗扰控制器参数优化
Active Disturbance Rejection Controller Parameters Optimitation Based on Particle Swarm Optimized
侯永强 1王增宝2
作者信息
- 1. 装甲兵工程学院 北京100072
- 2. 西安交通大学 西安710049
- 折叠
摘要
Abstract
A novel design method for the auto-disturbance-rejection controllersC ADRC) was proposed to deal with the difficulty in the parameter regulation of the ADRC. The particle swarm optimization( PSO) algorithms were employed in this method and the optimal ADRC parameters could be founded automatically to make the selected fitness function minimized. This proposed approach has superior features, including good computational efficiency and easy implementation. Achieving to transfer parameters fast for ADRC is very important.关键词
自抗扰控制器/粒子群算法/参数优化Key words
ADRC, PSO, parameters optimize分类
信息技术与安全科学引用本文复制引用
侯永强,王增宝..基于粒子群算法的自抗扰控制器参数优化[J].计算机与数字工程,2012,40(2):26-28,49,4.
