首页 | 本学科首页   官方微博 | 高级检索  
     

基于改进粒子群算法优化的自抗扰控制器(ADRC)及其应用
引用本文:赵凤娥,刘伟. 基于改进粒子群算法优化的自抗扰控制器(ADRC)及其应用[J]. 科技咨询导报, 2010, 0(18): 107-109
作者姓名:赵凤娥  刘伟
作者单位:广东天联集团有限公司,广州,510600 
摘    要:针对自抗扰控制器参数多,不利于整定的问题,提出了一种基于改进的粒子群算法(PSO)的自抗扰控制器参数整定方法。该方法引入了PSO中各个粒子的惯性权值的自适应调整机制,以此来维持粒子的多样性和加速粒子群算法的收敛性。利用改进粒子群算法优化的二阶自抗扰控制器控制主气温控制系统,仿真结果验证了算法的可行性和有效性。

关 键 词:自抗扰控制器  粒子群算法  参数优化  主气温控制系统

Optimization of ADRC and its Application Based on Improved Particle Swarm Algorithms
ZHAO Feng,E LIU Wei. Optimization of ADRC and its Application Based on Improved Particle Swarm Algorithms[J]. , 2010, 0(18): 107-109
Authors:ZHAO Feng  E LIU Wei
Affiliation:(Guangdong Tianlian Group Co. Ltd,Guangzhou 510600,China)
Abstract:In light of the more parameters and its difficulties to set the value of ADRC,a kind of new method based on improved PSO which can be used to set ADRC parameters value has been offered. In this method particle with dynamically changing its inertia weight,therewith it can keep diversity and accelerating convergence of particles. ADRC being optimized by improved PSO is used to the main steam temperature control system,The simulation results show that the possibilities and availability of the improved PSO.
Keywords:ADRC  PSO  Parameters optimization =main steam temperature system
本文献已被 维普 万方数据 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号