基于罚函数PSO算法的μ定结构控制器优化设计  

μ Fixed-structure Controller Optimization Design Based on Penalty Function PSO Algorithm

作　　者：应巧萍 张民[1] 

机构地区：[1]南京航空航天大学自动化学院,南京211100

出　　处：《兵工自动化》2016年第4期56-59,共4页Ordnance Industry Automation

基　　金：国家自然科学基金(61174197)

摘　　要：针对传统控制方法存在的问题,提出一种基于罚函数粒子群优化算法的μ定结构控制器优化设计方法。以直流电机模型为控制对象,针对经典定结构控制结构-PID结构,应用罚函数粒子群算法设计满足μ指标的控制器,并通过实例将其与H∞-PID控制器进行比较。结果表明,μ-PID控制器的标称及鲁棒性能均优于H∞-PID控制器。Aimed at the problems existing in the traditional control method, this paper presents a kind of μ fixed-structure controller design method based on penalty function particle swarm optimization algorithm. A classical fixed-structure controller, PID controller, which satisfies the μ index, is designed taking the DC drive model as the object and based on penalty function particle swarm optimization algorithm, compared with H∞-PID controller through the instance. The results indicate that the μ-PID controller has superiority over H∞-PID one in both standard and robust performance.

关 键 词：μ-PID 鲁棒 直流电机 粒子群优化 约束 

分 类 号：TP216[自动化与计算机技术—检测技术与自动化装置]