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

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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 languageEnglish
Pages (from-to)239-246
Number of pages8
JournalZhongguo Hangkong Taikong Xuehui Huikan/Transactions of the Aeronautical and Astronautical Society of the Republic of China
Volume37
Issue number3
Publication statusPublished - 2005 Sep 1

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Transient analysis
Genetic algorithms
Control systems

All Science Journal Classification (ASJC) codes

  • Aerospace Engineering

Cite this

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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.",
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