Helicopter Flight Dynamics Using Soft Computing Models

  • Javier de Lope
  • Juan José San Martín
  • José A. Martín H.
Part of the Lecture Notes in Computer Science book series (LNCS, volume 4739)


In this paper we propose a novel approach for the control of helicopters, using a flight dynamics model of the aircraft to develop reliable controllers by means of classical procedures, evolutionary either reinforcement learning techniques. Here we are presenting the method that we use to estimate the aircraft position, including the low level image processing, the hardware configuration which allows us to register the commands generated by an expert pilot using a conventional radio control (RC) transmitter, and how both variables are related by an artificial neural network (ANN).


Hide Layer Unmanned Helicopter Autonomous Helicopter Aircraft Position Calibrator Software 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.


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Copyright information

© Springer-Verlag Berlin Heidelberg 2007

Authors and Affiliations

  • Javier de Lope
    • 1
  • Juan José San Martín
    • 2
  • José A. Martín H.
    • 3
  1. 1.Dept. of Applied Intelligent Systems (UPM) 
  2. 2.Microbótica, S.L. 
  3. 3.Dep. de Sistemas Informáticos y Computación (UCM) 

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