• DocumentCode
    2870721
  • Title

    Parameters Identification for Smart Dampers based on Simulated Annealing and Genetic Algorithm

  • Author

    Liu, Peng ; Liu, Hongjun ; Teng, Jun ; Cao, Tianyi

  • Author_Institution
    Dept. of Urban & Civil Eng., Harbin Inst. of Technol. Shenzhen Graduate Sch.
  • fYear
    2006
  • fDate
    25-28 June 2006
  • Firstpage
    2199
  • Lastpage
    2204
  • Abstract
    The research for MR dampers has been an extremely hot topic in the recent area of the structural vibration control. It has been the newly intellectual install in vibration controlling for the civil engineering structures now. But, how to build the mathematic model for the damper, and choose the proper algorithm to identify and optimize the parameters of the model is the key for the problem. In the lecture, the Bouc-Wen model is used in the calculation. And the genetic algorithm used before is simply introduced. The calculating process of the simulated annealing algorithm is designed in details. Then the fine parameters of theirs are determined by changing the conditions. For the identification of the damper parameters, the optimal solutions of the simulated annealing algorithm and genetic algorithm are both calculated out. At last, the results calculated separately by them are shown and the optimal solutions are in contrast. Their efficiencies in optimization are also discussed separately in the paper
  • Keywords
    genetic algorithms; magnetorheology; parameter estimation; shock absorbers; simulated annealing; vibration control; MR dampers; genetic algorithm; parameters identification; simulated annealing; smart dampers; structural vibration control; Algorithm design and analysis; Civil engineering; Damping; Genetic algorithms; Mathematical model; Mathematics; Parameter estimation; Shock absorbers; Simulated annealing; Vibration control; Bouc-Wen model; Genetic Algorithm; MR damper; Simulated Annealing Algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation, Proceedings of the 2006 IEEE International Conference on
  • Conference_Location
    Luoyang, Henan
  • Print_ISBN
    1-4244-0465-7
  • Electronic_ISBN
    1-4244-0466-5
  • Type

    conf

  • DOI
    10.1109/ICMA.2006.257653
  • Filename
    4026439