OSA: Orthogonal simulated annealing algorithm and its application to designing mixed H2/H∞ optimal controllers

Shinn Jang Ho*, Shinn-Ying Ho, Li Sun Shu

*Corresponding author for this work

Research output: Contribution to journalArticle

49 Scopus citations

Abstract

This paper proposes a novel orthogonal simulated annealing (OSA) algorithm for solving intractable large-scale engineering problems and its application to designing mixed H2/H∞ 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∞- 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∞- and GA-based methods for designing MIMO optimal controllers.

Original languageEnglish
Pages (from-to)588-600
Number of pages13
JournalIEEE Transactions on Systems, Man, and Cybernetics Part A:Systems and Humans.
Volume34
Issue number5
DOIs
StatePublished - 1 Sep 2004

Fingerprint Dive into the research topics of 'OSA: Orthogonal simulated annealing algorithm and its application to designing mixed H<sub>2</sub>/H∞ optimal controllers'. Together they form a unique fingerprint.

Cite this