Improvement of transient response using GA with a weighed integral absolute error objective function

Liang Rui Chen

Improvement of transient response using GA with a weighed integral absolute error objective function

Liang Rui Chen

Department of Electrical Engineering

Research output: Contribution to journal › Article › peer-review

1 Citation (Scopus)

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 widely 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.

Original language	English
Pages (from-to)	239-246
Number of pages	8
Journal	Zhongguo Hangkong Taikong Xuehui Huikan/Transactions of the Aeronautical and Astronautical Society of the Republic of China
Volume	37
Issue number	3
Publication status	Published - 2005 Sep 1

All Science Journal Classification (ASJC) codes

Aerospace Engineering

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