• DocumentCode
    2847978
  • Title

    Simulation of Adaptive Blade Pitch Control for Elctrically Controlled Rotor

  • Author

    Liang, Hong ; Yang, Lu

  • Author_Institution
    Nat. Key Lab. of Rotorcraft Aeromechanics, Nanjing Univ. of Aeronaut. & Astronaut., Nanjing, China
  • Volume
    2
  • fYear
    2010
  • fDate
    13-14 Oct. 2010
  • Firstpage
    374
  • Lastpage
    377
  • Abstract
    Electrically Controlled Rotor (ECR) is a new concept rotor system which was brought forward at the beginning of the 21st century. A control strategy of the ECR system is given out in this paper. An adaptive blade pitch control strategy of the ECR system is proposed, which is based on the adaptive filter with least mean aquare (LMS) algorithm. A secondary path on-line identification method with random signal is added into the control system. To eliminate the bad effect of the random signal, a secondary path filter is used. The effectiveness of the control strategy is verified through SIMULINK simulation. The results show that the control strategy can adapt the changes automatically in different flight conditions of the helicopter, and the actual blade pitch value will reach the required pitch value in less than 2 seconds.
  • Keywords
    adaptive control; adaptive filters; aircraft control; blades; control system synthesis; least mean squares methods; position control; rotors; ECR system; SIMULINK simulation; adaptive blade pitch control; adaptive filter; concept rotor system; electrically controlled rotor; helicopter condition; least mean aquare algorithm; random signal; secondary path filter; secondary path online identification method; Adaptation model; Adaptive filters; Blades; Control systems; Finite impulse response filter; Helicopters; Rotors; Electrically Controlled Rotor; adaptive control; blade pitch; simulation;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent System Design and Engineering Application (ISDEA), 2010 International Conference on
  • Conference_Location
    Changsha
  • Print_ISBN
    978-1-4244-8333-4
  • Type

    conf

  • DOI
    10.1109/ISDEA.2010.380
  • Filename
    5743442