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Proceedings Paper

Application of genetic algorithms to the determination of multiple positive-position feedback controller gains for smart structures
Author(s): Moon K. Kwak; Sang-Bo Han
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Paper Abstract

This paper is concerned with the determination of multiple positive position feedback controller gains using genetic algorithms. The genetic algorithms have proven its effectiveness in searching optical design parameters without falling into local minima thus rendering globally optimal solutions. The use of genetic algorithms to the controller design have been investigated by many researchers but limited to the PID control, and optimal controls. In this paper, the genetic algorithm is applied to the positive position feedback control which has been successfully used for the active vibration suppression of smart structures. The advantage of the positive position feedback controller is that it can be easily implemented in analog circuits and each mode can be tackled independently. However, the disadvantage is that the natural vibration characteristics should be accurately determined a priori either theoretically or experimentally. In this paper, we develop a new algorithm for the determination of controller gains based on the genetic algorithm. Hence, the traditional positive position feedback controller can be used in adaptive fashion. Experimental results will prove its effectiveness.

Paper Details

Date Published: 24 July 1998
PDF: 12 pages
Proc. SPIE 3323, Smart Structures and Materials 1998: Mathematics and Control in Smart Structures, (24 July 1998); doi: 10.1117/12.316341
Show Author Affiliations
Moon K. Kwak, Dongguk Univ. (South Korea)
Sang-Bo Han, Kyungnam Univ. (South Korea)

Published in SPIE Proceedings Vol. 3323:
Smart Structures and Materials 1998: Mathematics and Control in Smart Structures
Vasundara V. Varadan, Editor(s)

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