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GA Based Industrial Actuator Design for Optimum Control of Vibration in Flexible Structures

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Abstract

This paper presents experimental results of a Genetic Algorithm (GA) application for design of industrial actuators used for vibration control of tall flexible structures. The method for modeling flexible structures with distributed parameters as reduced-order models with lumped parameters, is employed. Design of flexible structures is considered as a feedback search procedure where a new solution is assigned a fitness value and the GA, iterates until a satisfactory design solution is achieved. A new evaluation function (fitness function) which uses the ratio between the controlled and un-controlled peaks of the frequency response in the first mode of vibration as the measure of utility of the solution, is proposed.

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References

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© 2002 Springer-Verlag London Limited

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Kundu, S., Seto, K., Sugino, S. (2002). GA Based Industrial Actuator Design for Optimum Control of Vibration in Flexible Structures. In: Parmee, I.C., Hajela, P. (eds) Optimization in Industry. Springer, London. https://doi.org/10.1007/978-1-4471-0675-3_22

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  • DOI: https://doi.org/10.1007/978-1-4471-0675-3_22

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-534-2

  • Online ISBN: 978-1-4471-0675-3

  • eBook Packages: Springer Book Archive

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