• DocumentCode
    2677942
  • Title

    Performance analysis and comparison of FXLMS and FULMS algorithm for active structure vibration control

  • Author

    Shouwei, Gao ; Zhiyuan, Gao ; Yong, Shao ; Jincong, Yi ; Xiaojin, Zhu

  • Author_Institution
    Dept. of Autom., Shanghai Univ., Shanghai, China
  • Volume
    1
  • fYear
    2010
  • fDate
    27-29 March 2010
  • Firstpage
    197
  • Lastpage
    201
  • Abstract
    Taking the piezoelectric beam as research object, filtered-U least mean square (FULMS) control algorithm for feed-forward adaptive control is analyzed and compared with filtered-x least mean square (FXLMS) feed-forward control algorithm, which can solve the problem that the vibration feedback may affect the measuring of the reference signal in FXLMS. By introducing FXLMS and FULMS control algorithm, this paper gives the controller design structure, while structure modal analysis to determine the optimal placement of piezoelectric sensors and actuators and model parameter identification for the controlled structure are done. Then the active vibration control experimental platform is established to verify the effectiveness of FULMS control scheme as well as FXLMS control scheme. Meanwhile the experimental results of FXLMS and FULMS are compared. The performance comparison shows that the FULMS adaptive vibration controller has a better control performance, with more rapid convergence than FXLMS controller.
  • Keywords
    adaptive control; beams (structures); control system synthesis; feedback; feedforward; least mean squares methods; piezoelectric actuators; sensors; space vehicles; structural engineering; vibration control; FULMS control algorithm; FXLMS control algorithm; active structure vibration control; adaptive vibration controller; controller design structure; feed-forward adaptive control; filtered-U least mean square; filtered-x least mean square feed-forward control algorithm; model parameter identification; piezoelectric actuator; piezoelectric beam; piezoelectric sensor; reference signal; spacecraft; structure modal analysis; vibration feedback; Adaptive control; Adaptive filters; Algorithm design and analysis; Feedback; Feedforward systems; Optimal control; Performance analysis; Signal analysis; Vibration control; Vibration measurement; Active Vibration Control; Adaptive Control; Comparison; FULMS Algorithm; Performance Analysis; Piezoelectric Structure;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Advanced Computer Control (ICACC), 2010 2nd International Conference on
  • Conference_Location
    Shenyang
  • Print_ISBN
    978-1-4244-5845-5
  • Type

    conf

  • DOI
    10.1109/ICACC.2010.5487047
  • Filename
    5487047