Design of Optimal Controllers for Uncertain Interval Systems via an Evolutionary Approach

• Main Authors: Shih-Chi Chang, 章士褀
• Other Authors: Chen-Chien Hsu
• Format: Others
• Language: zh-TW
• Online Access: http://ndltd.ncl.edu.tw/handle/27892677683044480288

碩士 === 聖約翰技術學院 === 自動化及機電整合研究所繫 === 93 === In this paper, we propose a GA-based approach to derive an optimal controller for uncertain interval systems. Based on a worst-case design philosophy, we obtain the worst-case gain and phase margin of the interval system associated with the controller with the use of extremal systems. A genetic algorithm is then adopted to adjust controller parameters, so that the worst-case gain and phase margin of the closed-loop system satisfy those specified by the user. To accelerate the fitness assessment of chromosomes during the evolution process in deriving the optimal controller, an architecture of parallel computation for the evolutionary approach in the Matlab-based working environment is also proposed. Keywords: Genetic Algorithms, Interval Systems, Extremal Systems, Gain Margin, Phase Margin, Bode Envelope