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Bouc-Wen model parameter identification for a MR fluid damper using computationally efficient GA.

N M Kwok1, Q P Ha, M T Nguyen

  • 1Faculty of Engineering, University of Technology, Sydney, Broadway, NSW 2007, Australia. ngai.kwok@eng.uts.edu.au

ISA Transactions
|March 14, 2007
PubMed
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A new non-symmetrical Bouc-Wen model enhances magnetorheological (MR) fluid dampers by accounting for hysteresis. A Genetic Algorithm (GA) optimizes model parameters, improving damper performance and enabling accurate experimental validation.

Area of Science:

  • Mechanical Engineering
  • Materials Science
  • Control Systems

Background:

  • Magnetorheological (MR) fluid dampers are crucial in various engineering applications.
  • The original Bouc-Wen model has limitations in capturing complex damper dynamics, particularly non-symmetrical hysteresis.
  • Accurate modeling is essential for optimizing MR damper performance and control.

Purpose of the Study:

  • To propose a non-symmetrical Bouc-Wen model for MR fluid dampers.
  • To incorporate the effects of non-symmetrical hysteresis into the model.
  • To develop an efficient parameter identification method for the proposed model.

Main Methods:

  • A novel non-symmetrical Bouc-Wen model was developed.
  • A modified Genetic Algorithm (GA) was employed for parameter identification, integrating selection into crossover and mutation operations.

Related Experiment Videos

  • Adaptive crossover and mutation probabilities based on fitness values were implemented.
  • A statistical hypothesis test was used as the termination criterion for the GA.

    • Main Results:

    • The proposed non-symmetrical Bouc-Wen model effectively captures the behavior of MR fluid dampers.
    • The modified GA demonstrated improved computational efficiency and robust parameter identification.
    • Experimental data validated the model's accuracy and the effectiveness of the parameter identification approach.
    • Satisfactory parameter identification results were achieved, confirming the model's utility.

    Conclusions:

    • The developed non-symmetrical Bouc-Wen model provides a more accurate representation of MR fluid dampers.
    • The enhanced GA offers an efficient and reliable method for identifying complex model parameters.
    • The approach facilitates better design and control of MR fluid dampers in engineering applications.