Computer Engineering and Applications ›› 2010, Vol. 46 ›› Issue (19): 67-70.DOI: 10.3778/j.issn.1002-8331.2010.19.019

• 研发、设计、测试 • Previous Articles     Next Articles

Method for designing H∞ structured specified controllers

ZHAO Ao-dong1,XI Mao-long1,SUN Jun2   

  1. 1.Wuxi Institute of Technology,Wuxi,Jiangsu 214122,China
    2.School of Information Technology,Southern Yangtze University,Wuxi,Jiangsu 214121,China
  • Received:2009-05-27 Revised:2009-07-14 Online:2010-07-01 Published:2010-07-01
  • Contact: ZHAO Ao-dong

一种H∞混合灵敏度控制器设计方法

赵翱东1,奚茂龙1,孙俊2

  

  1. 1.无锡职业技术学院,江苏无锡214121
    2.江南大学信息学院,江苏无锡214122
  • 通讯作者: 赵翱东

Abstract: The conventional output feedback designs of H∞ optimal control are very complicated and not easily implemented
for practical industrial application because the order of the controller is much higher than that of the plant.In this paper,
a Quantum-behaved Particle Swarm Optimization(QPSO) for the design of a structure specified H∞ optimal problem is proposed
from sub-optimal perspective.This method is very advantageous for practical control systems.Two examples involving a
SISO phase-locked-loop motor speed system with lead/lag type controller and a MIMO super maneuverable F18/HARV fighter
aircraft with a PI-type controller are given to illustrate the design procedure and exhibit the effectiveness of the proposed
method via a comparison study with an existing GA approach.

摘要: 传统的输出反馈H∞优化控制设计比较复杂,由于控制器的阶数要远远高于实际系统的阶数,在实际工业控制过程中不容易实现。从次优控制的角度出发,利用量子粒子群算法解决特定结构的H∞混合灵敏度优化控制设计。对带有超前/滞后环节控制器的SISO锁相闭环摩托速度系统和PI 型控制器的MIMO超级机动F18/harv 战斗机系统使用量子粒子群算法进行了分析,并和GA算法进行了比较。实验仿真显示了量子粒子群算法的有效性。

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