• DocumentCode
    2307260
  • Title

    Study on Robust Auto-MAP-Modify Method for High-Power Variable-Speed Governor of Diesel Engine by Extended State Observer

  • Author

    Zuo, Zhe ; Huang, Ying ; Zhao, Chang-Lu ; Wan, Guo-Qiang ; Li, Qian ; Li, Dan-Yang

  • Author_Institution
    Lab. for Mil. Vehicle Integrated Power Syst. Technol., Beijing Inst. of Technol., Beijing, China
  • Volume
    3
  • fYear
    2010
  • fDate
    13-14 March 2010
  • Firstpage
    635
  • Lastpage
    640
  • Abstract
    This paper present robust Auto-MAP-Modify method for High-power Variable-Speed Governor of Diesel Engine by extended state observer. Firstly the uncertain between MAP parameter and real parameter is defined as additive-Perturbations. Secondly the original controller is reconstructed as a dynamic controller for sensitivity and noises, meanwhile a static controller for Auto-MAP-Modify. The H¿ norm index is utilized to synthetically value robustness of the system. Finally Auto-MAP-Modify controller is designed by the Extended State Observer. Simulation and Bench test results show that the method is efficient for conquering the uncertain of MAP parameters. Compared with on board GA and Alopex algorithm, this method achieves rapider convergence rate and simpler structure.
  • Keywords
    diesel engines; observers; robust control; Alopex algorithm; GA algorithm; H¿ norm index; MAP parameter; additive-perturbations; diesel engine; dynamic controller; extended state observer; high-power variable-speed governor; robust auto-MAP-modify controller; static controller; Combustion; Control systems; Convergence; Diesel engines; Electric variables control; Fuels; Noise robustness; Power system dynamics; Robust control; Vehicle dynamics; Auto-Map-Modify; Extended State Observ; Robust control; Variable-Speed Governor of Diesel Engine;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
  • Conference_Location
    Changsha City
  • Print_ISBN
    978-1-4244-5001-5
  • Electronic_ISBN
    978-1-4244-5739-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2010.232
  • Filename
    5460255