OSA:: Orthogonal simulated annealing algorithm and its application to designing mixed H2/H∞ optimal controllers
OSA:: Orthogonal simulated annealing algorithm and its application to designing mixed H2/H∞ optimal controllers
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DOI：
10.1109/tsmca.2004.832834
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发表时间：
2004-09-01
影响因子：
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通讯作者：
Shu, LS
中科院分区：
文献类型：
--
作者：
Ho, SJ;Ho, SY;Shu, LS
提出了一种新的正交模拟退火（OSA）算法，并将其应用于具有鲁棒稳定性和干扰抑制的混合H-2/H-∞最优结构指定控制器的设计。OSA的高性能主要来自于智能生成机制（IGM），该机制应用正交实验设计来加速搜索。IGM通过使用系统的推理方法，可以有效地为OSA的下一步移动生成一个好的候选解。现有的基于H ∞和遗传算法（GA）的方法很难经济地获得多输入多输出（MIMO）最优控制系统设计问题的精确解。通过参数优化函数和MIMO超可调F18/HARV战斗机系统的PID控制器设计，验证了OSA的高效性和有效性。经验表明，OSA的参数优化功能和性能的OSA为基础的方法没有先验知识是上级那些现有的H ∞和GA为基础的方法设计MIMO最优控制器。
This paper proposes a novel orthogonal simulated annealing (OSA) algorithm for solving intractable large-scale engineering problems and its application to designing mixed H-2/H-infinity optimal structure-specified controllers with robust stability and disturbance attenuation. High performance of OSA arises mainly from an intelligent generation mechanism (IGM), which applies orthogonal experimental design to speed up the search. IGM can efficiently generate a good candidate solution for next move of OSA by using a systematic reasoning method. It is difficult for existing H-infinity- and genetic algorithm (GA)-based methods to economically obtain an accurate solution to the design problem of multiple-input, multiple-output (MIMO) optimal control systems. The high performance and validity of OSA are demonstrated by parametric optimization functions and a MIMO super maneuverable F18/HARV fighter aircraft system with a proportional-integral-derivative (PID)-type controller. It is shown empirically that OSA performs well for parametric optimization functions and the performance of the OSA-based method without prior domain knowledge is superior to those of existing H-infinity- and GA-based methods for designing MIMO optimal controllers.