Abstract
In this paper the neural network controller for quadrotor steering and stabilizing under the task of flight on path has been deliberated. The control system was divided into four subsystems. Each of them is responsible for setting the control values for controlling position and speed of the quadrotor and for steering rotation speed of propellers. The neural network was taught by control system with standard PID controller. This approach is used for checking how neural networks cope with stabilisation of the quadrotor under flight task. Simulation results of the neural controller and PID controller working were compared to each other. The mathematical model of quadrotor and its neural controller were simulated using Matlab Simulink software. In the paper the simulation results of the quadrotor’s flight on path of are presented.
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Lower, M., Tarnawski, W. (2015). Quadrotor Navigation Using the PID and Neural Network Controller. In: Zamojski, W., Mazurkiewicz, J., Sugier, J., Walkowiak, T., Kacprzyk, J. (eds) Theory and Engineering of Complex Systems and Dependability. DepCoS-RELCOMEX 2015. Advances in Intelligent Systems and Computing, vol 365. Springer, Cham. https://doi.org/10.1007/978-3-319-19216-1_25
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DOI: https://doi.org/10.1007/978-3-319-19216-1_25
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-19215-4
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