基于粒子群优化的自抗扰算法在嵌入式平台上的应用  

Application of Active Disturbance Rejection Algorithm Based on Particle Swarm Optimization on Embedded Platform

作　　者：王杰华 孙明[2] 姜炜[2] WANG Jiehua;SUN Ming;JIANG Wei(Zhanjiang Zhongyue Energy Co.,Ltd.,Zhanjiang 524099,China;Hebei Engineering Research Center of Simulation &Optimized Control for Power Generation (North China Electric Power University),Baoding 071003,China)

机构地区：[1]湛江中粤能源有限公司,广东湛江524099 [2]河北省发电过程仿真与控制工程技术研究中心(华北电力大学),河北保定071003

出　　处：《山东电力技术》2018年第11期47-51,共5页Shandong Electric Power

基　　金：河北省自然科学基金(E2018502111)

摘　　要：针对二阶线性自抗扰控制器存在的控制参数较多、难以整定的问题,引入粒子群优化算法对控制器参数进行整定,提出了一种基于嵌入式平台的二阶线性自抗扰控制算法实现方案,由嵌入式平台、上位机软件、网络通信、串口通信等设备组成,比较了优化前后系统的控制效果,并将优化后的控制器参数在嵌入式平台上进行仿真实验。实验表明该优化方案及嵌入式设计方法具有通用性强、可靠性高、优化品质高的优点。To solve the problem of complex tuning process associated with second-order linear auto-disturbance controller which has several control parameters.We proposed a method using the particle swarm optimization algorithm for adjusting the controller parameters.An implementation scheme of the linear auto disturbance rejection control algorithm based on embedded platform is proposed,which consists of embedded platform,host computer software,network communication,serial communication and other equipment.The control effects of the system before and after optimization are compared,and the optimized controller parameters are simulated on the embedded platform.

关 键 词：线性自抗扰控制 粒子群优化 嵌入式平台 

分 类 号：TP273[自动化与计算机技术—检测技术与自动化装置]