Abstract
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).
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de Lope, J., San Martín, J.J., Martín H., J.A. (2007). Helicopter Flight Dynamics Using Soft Computing Models. In: Moreno Díaz, R., Pichler, F., Quesada Arencibia, A. (eds) Computer Aided Systems Theory – EUROCAST 2007. EUROCAST 2007. Lecture Notes in Computer Science, vol 4739. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-75867-9_78
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DOI: https://doi.org/10.1007/978-3-540-75867-9_78
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-75866-2
Online ISBN: 978-3-540-75867-9
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