Please use this identifier to cite or link to this item: http://rportal.lib.ntnu.edu.tw:80/handle/77345300/32095
Title: Multiobjective Evolutionary Approach to the Design of Optimal Controllers for Interval Plants Based on Parallel Computation
Authors: 國立臺灣師範大學電機工程學系
Chen-Chien Hsu
Shih-Chi Chang
Chih-Yung Yu
Issue Date: 1-Sep-2006
Publisher: Institute of Electronics, Information and Communication Engineers
Abstract: Design of optimal controllers satisfying performance criteria of minimum tracking error and disturbance level for an interval system using a multi-objective evolutionary approach is proposed in this paper. Based on a worst-case design philosophy, the design problem is formulated as a minimax optimization problem, subsequently solved by a proposed two-phase multi-objective genetic algorithm (MOGA). By using two sets of interactive genetic algorithms where the first one determines the maximum (worst-case) cost function values for a given set of controller parameters while the other one minimizes the maximum cost function values passed from the first genetic algorithm, the proposed approach evolutionarily derives the optimal controllers for the interval system. To suitably assess chromosomes for their fitness in a population, root locations of the 32 generalized Kharitonov polynomials will be used to establish a constraints handling mechanism, based on which a fitness function can be constructed for effective evaluation of the chromosomes. Because of the time-consuming process that genetic algorithms generally exhibit, particularly the problem nature of minimax optimization, a parallel computation scheme for the evolutionary approach in the MATLAB-based working environment is also proposed to accelerate the design process.�
URI: http://rportal.lib.ntnu.edu.tw/handle/77345300/32095
ISSN: 0916-8508
Other Identifiers: ntnulib_tp_E0607_01_001
Appears in Collections:教師著作

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