Paper
24 July 1998 Application of genetic algorithms to the determination of multiple positive-position feedback controller gains for smart structures
Moon K. Kwak, Sang-Bo Han
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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.
© (1998) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Moon K. Kwak and Sang-Bo Han "Application of genetic algorithms to the determination of multiple positive-position feedback controller gains for smart structures", Proc. SPIE 3323, Smart Structures and Materials 1998: Mathematics and Control in Smart Structures, (24 July 1998); https://doi.org/10.1117/12.316341
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CITATIONS
Cited by 11 scholarly publications.
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KEYWORDS
Genetic algorithms

Smart structures

Sensors

Actuators

Feedback control

Composites

Optimization (mathematics)

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