• DocumentCode
    3388803
  • Title

    A hybrid control allocation strategy for aircraft with multiple effectors

  • Author

    Ma, Jianjun ; Li, Wenqiang ; Li, Peng ; Zheng, Zhiqiang

  • Author_Institution
    Nat. Univ. of Defense Technol., Changsha
  • fYear
    2008
  • fDate
    10-12 Oct. 2008
  • Firstpage
    70
  • Lastpage
    75
  • Abstract
    A hybrid strategy for control allocation of aircraft with multiple effectors is described in this paper. Pseudo inverse method for solution of the control allocation problem is able to find a feasible solution only on a subset of the feasible region. Some other methods, like direct control allocation is able to find the feasible solution on the entire feasible region but have heavy computation burden. A novel, hybrid approach for control allocation, proposed in this paper, is based on integration of the pseudo inverse and the sequential least squares method. It is implemented as a two-step process: The pseudo inverse solution is found in the first step; then the feasibility of the solution is examined analyzing its individual components. If violation of actuator constraint is detected, the sequential least squares method is activated in the second step. In this way, the hybrid approach is able to allocate the exact solution, optimal in the l2 sense, inside the entire feasible region. This solution minimizes a control energy cost function, the most suitable criteria for aircraft with multiple effectors applications.
  • Keywords
    aircraft control; inverse problems; least squares approximations; actuator constraint violation detection; aircraft; control energy cost function minimization; hybrid control allocation strategy; multiple effector; pseudoinverse method; sequential least squares method; Actuators; Aerospace control; Aircraft; Control design; Control systems; Cost function; Elevators; Force control; Inverse problems; Least squares methods;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    System Simulation and Scientific Computing, 2008. ICSC 2008. Asia Simulation Conference - 7th International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    978-1-4244-1786-5
  • Electronic_ISBN
    978-1-4244-1787-2
  • Type

    conf

  • DOI
    10.1109/ASC-ICSC.2008.4675328
  • Filename
    4675328