• DocumentCode
    170401
  • Title

    Method for solving the pilot optimal attention allocation problem

  • Author

    Shuang Liu ; Xiaoru Wanyan ; Damin Zhuang

  • Author_Institution
    Sch. of Aeronaut. Sci. & Eng., Beihang Univ., Beijing, China
  • fYear
    2014
  • fDate
    16-18 May 2014
  • Firstpage
    180
  • Lastpage
    184
  • Abstract
    According to the modern control and optimal estimation theory, a mathematical model of the pilot attention resource allocation is developed This model analyzes the inherent characteristics of pilot input and output links in the pilot-vehicle closed-loop system, and the optimal control model of pilot is established by simplification and mathematical modeling. The control task chosen in this paper concerns the longitudinal motion of a hovering aircraft. To solve the pilot optimal attention allocation problem in the instrument-monitoring task of the pilot-vehicle closed-loop system an objective function is set up based on flight control system state equation. In the process of solving optimization problem, the constrained optimization problem is converted into an unconstrained problem, and is solved effectively with the method of steepest descent algorithm in the MATLAB.
  • Keywords
    aerospace control; closed loop systems; mathematics computing; optimal control; optimisation; resource allocation; MATLAB; aircraft; flight control system state equation; inherent characteristics; instrument-monitoring task; mathematical model; mathematical modeling; optimal control model; optimal estimation theory; optimization; pilot attention resource allocation; pilot optimal attention allocation; pilot-vehicle closed- loop system; Aerospace control; Closed loop systems; Mathematical model; Neuromuscular; Noise; Optimal control; Resource management; attention allocation; ergonomics; optimal control model; pilot; steepest descent algorithm;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Progress in Informatics and Computing (PIC), 2014 International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-4799-2033-4
  • Type

    conf

  • DOI
    10.1109/PIC.2014.6972320
  • Filename
    6972320