Optimized Neural Network-Direct Inverse Control for Attitude Control of Heavy-Lift Hexacopter
Keywords:DIC, Heavy-Lift Hexacopter, Neural Network, Optimized DIC,
AbstractThis paper discusses a neural network based on direct inverse control (DIC) to control the roll, pitch, and yaw in maintaining the hovering condition of a heavy-lift hexacopter. To improve the control of the hexacopter, the authors propose a DIC-optimized method of retraining the inverse model using new data collected from optimal motions of the hexacopter generated by the desired input. The experiment showed that both the DIC model and the DIC-optimized model had good performances with small MSSE values; however, the latter was more effective than the former.
Alaimo, V. Artale, C. L. R. Milazzo, and A. Ricciardello, "PID controller applied to hexacopter flight," Journal of Intelligent & Robotic Systems, vol. 73, pp. 261-270, 2014.
F. Šolc and R. Baránek, "Attitude control of multicopter," 2012,Západočeská univerzita v Plzni, Fakulta elektrotechnická, pp. 10-12, 2012.
R. Baranek and F. Šolc, "Modelling and control of a hexa-copter," in Carpathian Control Conference (ICCC), 2012 13th International, 2012, pp. 19-23.
A. Arellano-Muro, L. F. Luque-Vega, B. Castillo-Toledo, and A. G. Loukianov, "Backstepping control with sliding mode estimation for a hexacopter," in Electrical Engineering, Computing Science and Automatic Control (CCE), 2013 10th International Conference on, 2013, pp. 31-36.
V. Artale, M. Collotta, G. Pau, and A. Ricciardello, "Hexacopter trajectory control using a neural network," in 11TH International Conference Of Numerical Analysis And Applied Mathematics 2013 (ICNAAM 2013), Rhodes, Greece, 2013, pp. 1216-1219.
M. Collotta, G. Pau, and R. Caponetto, "A real-time system based on a neural network model to control hexacopter trajectories," in Power Electronics, Electrical Drives, Automation and Motion (SPEEDAM), 2014 International Symposium on, 2014, pp. 222-227.
Benyamin Kusumoputro, K. Priandana, W. Wahab, "System Identification And Control Of Pressure Process Rig® System Using Backpropagation Neural Networks," ARPN, vol. 10 pp. 7190-7195, September 2015 2015.
M. A. Heryanto,W. Wahab, and B. Kusumoputro, "Optimization of a neural network based direct inverse control for controlling a quadrotor unmanned aerial vehicle," in MATEC Web of Conferences, 2015, p. 04003.
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