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Please use this identifier to cite or link to this item: http://ir.ncue.edu.tw/ir/handle/987654321/11127

Title: Improvement of transient response using GA with a weighed integral absolute error objective function
Authors: Chen, Liang‐Rui
Contributors: 電機工程系
Keywords: Genetic algorithm;Objective function;Weighted integral absolute error
Date: 2005-09
Issue Date: 2012-06-05T04:33:26Z
Publisher: 中華民國航空太空學會
Abstract: The typical transient response criteria (e.g., IAE, ISE, IATE, ISTE) used as an objective function in a Genetic Algorithm (GA) cannot get a fast transient response without overshoot, although the GA with many attractive features such as effective, robust and easy programming is wildly applied to optimize the parameters in a control system. This paper thus proposes a Weighted Integral Absolute Error (WIAE) criterion to solve this problem. Experimental results show that the proposed WIAE can really help GA to get a more suitable set of parameters to effectively improve the transient response for servo control systems.
Relation: Transactions of the Aeronautical and Astronautical Society of the Republic of China, 37(3): 239-245
Appears in Collections:[電機工程學系] 期刊論文

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