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Neural and Fuzzy Based Nonlinear Flight Control for an Unmanned Quadcopter


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DOI: https://doi.org/10.15866/ireaco.v11i3.14055

Abstract


The aim of this paper is to optimize the performance of a Quadcopter by designing neural and fuzzy controllers. After modeling the Quadcopter dynamics using the Newton Euler formalism, three intelligent controllers are suggested. Firstly, four Reference Model based Neural Networks (RMNN) are used to stabilize three attitudes (roll, pitch, and yaw) and the altitude displacement. In this case, each neural controller first learns to provide a control law allowing the Quadcopter to follow a chosen Reference Model. Taking into account the four flight parameters above, we will attempt in the second approach to replace four Cooperative PDs with four Neural Networks (CPDNN) whereby each Neural Network mimics the behavior of a PD controller. The third approach includes Fuzzy logic to adjust PID controllers’ gains. Finally, disturbances were taken into account to test the robustness of the controllers. Simulation results confirm the effectiveness of the proposed methods.
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Keywords


Nonlinear System; Quadcopter; Neural Network; Reference Model; Fuzzy Logic; PID

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References


Naidoo,Y., Stopforth,R., Bright,G., Quad-Rotor Unmanned Aerial Vehicle Helicopter Modelling And Control, International Journal of Advanced Robotic Systems, Vol. 8 (4): 139-149, 2011.
http://dx.doi.org/10.5772/45710

Mustapa, Z., Saat, S., Autonomous Attitude Control of a Quadcopter Unmanned Aerial Vehicle (UAV), J. Telecommun. Electron., Vol. 7 (2) : 153–160, Decembre 2015.

Fernández-Caballero, A., María Belmonte, L., Morales,R., Andrés Somolinos, J. , Generalized Proportional Integral Control For An Unmanned Quadcopter System, International Journal of Advanced Robotic Systems, Vol. 12 (7) : 12-85, May 2015.
http://dx.doi.org/10.5772/60833

He, Z., and Zhao, L. A, A Simple Attitude Control Of Quadcopter Helicopter Based On Ziegler-Nichols Rules For Tuning Pd Parameters, The Scientific World Journal, Vol. 2014:1-13, 2014.
http://dx.doi.org/10.1155/2014/280180

Bouadi,H., Bouchoucha,M., Tadjine,M., Modelling and Stabilizing Control Laws Design Based on Sliding Mode for an UAV Type-Quadcopter, Engineering Letters, Vol.15(2):1-6, Novembre 2007.
http://dx.doi.org/10.3182/20070903-3-fr-2921.00043

Bouadi,H., Bouchoucha,M., Tadjine,M., Sliding Mode Control Based On Backstepping Approach For An UAV Type-Quadcopter, World Academy of Science, Engineering and Technology, Vol. 26 ( 5): 22-27, 2007.

Nagaty, A., Saeedi, S., Thibault, C., Seto, M., Li, H., Control and navigation framework for Quadcopter helicopters, Journal of intelligent & robotic systems, 70: 1-12, Septembre 2013.
http://dx.doi.org/10.1007/s10846-012-9789-z

Mohd Ariffanan Mohd,B., Abdul Rashid,H., Danapalasingam, K., A Nonlinear Control of an Autonomous Quadcopter Unmanned Aerial Vehicle using Backstepping Controller Optimized by Particle Swarm Optimization, Journal of Engineering Science & Technology Review, Vol. 8 ( 3) : 39-45,September 2015.

Jing Xiong, J., Zheng, E., Position And Attitude Tracking Control For A Quadcopter UAV, ISA transactions, Vol. 53(3) : 725-731, January 2014.
http://dx.doi.org/10.1016/j.isatra.2014.01.004

Ibrahim, H., Elnady, M., A Comparative Study of PID, Fuzzy, Fuzzy-PID, PSO-PID, PSO-Fuzzy, and PSO-Fuzzy-PID Controllers for Speed Control of DC Motor Drive, (2013) International Review of Automatic Control (IREACO), 6 (4), pp. 393-403.

Taki El-Deen, A., Mahmoud, A., R. El-Sawi, A., Optimal PID Tuning for DC Motor Speed Controller Based on Genetic Algorithm, (2015) International Review of Automatic Control (IREACO), 8 (1), pp. 80-85.
http://dx.doi.org/10.15866/ireaco.v8i1.4839

Gaya, M., Bisu, A., Salim, S., Madugu, I., Yusuf, L., Kaurangini, M., Khairi, M., Optimal PID Design Approaches for an Inverted Pendulum System, (2016) International Review of Automatic Control (IREACO), 9 (3), pp. 167-174.
http://dx.doi.org/10.15866/ireaco.v9i3.9160

El Gmili, N., Mjahed, M., El Kari, A., Ayad, H., An Improved Particle Swarm Optimization (IPSO) Approach for Identification and Control of Stable and Unstable Systems, (2017) International Review of Automatic Control (IREACO), 10 (3), pp. 229-239.
http://dx.doi.org/10.15866/ireaco.v10i3.11857

Siti, I., Mjahed, M., Ayad, H., El Kari, A., New Designing Approaches for Quadcopter PID Controllers Using Reference Model and Genetic Algorithm Techniques, (2017) International Review of Automatic Control (IREACO), 10 (3), pp. 240-248.
http://dx.doi.org/10.15866/ireaco.v10i3.12115

Deepak,G., Cheolkeun,HA., Control Of A Quadcopter Using A Smart Self-Tuning Fuzzy PID Controller, International Journal of Advanced Robotic Systems, Vol. 10(380) : 1-9, August 2013.
http://dx.doi.org/10.5772/56911

Kuantama, E., Vesselenyi,T., Dzitac,S., Tarca,R., PID and Fuzzy-PID Control Model for Quadcopter Attitude with Disturbances Parameter, International Journal Of Computers Communications & Control, Vol. 12(4) : 519-532, August 2017.
http://dx.doi.org/10.15837/ijccc.2017.4.2962

Khebbache, H., TADJINE,M., Robust Fuzzy Backstepping Sliding Mode Controller For A Quadcopter Unmanned Aerial Vehicle, Journal of Control Engineering and Applied Informatics, Vol. 15( 2) : 3-11, 2013.
http://dx.doi.org/10.1007/s00542-017-3439-0

Erginer ,B., Altuğ, E., Design And Implementation Of A Hybrid Fuzzy Logic Controller For A Quadcopter VTOL Vehicle. International Journal of Control, Automation and Systems, Vol. 10(1) : 61-70, October 2012.
http://dx.doi.org/10.1007/s12555-012-0107-0

Yang,Y., Yan, Y., Attitude Regulation For Unmanned Quadcopters Using Adaptive Fuzzy Gain-Scheduling Sliding Mode Control., Aerospace Science and Technology, Vol .54: 208-217, April 2016.
http://dx.doi.org/10.1016/j.ast.2016.04.005

Mohd Basri,M.A., Husain.A.R., Danapalasingam Kumeresan,A., GSA-based optimal backstepping controller with a fuzzy compensator for robust control of an autonomous Quadcopter UAV, Aircraft Engineering and Aerospace Technology: An International Journal, Vol. 87 (5): 493-505, september 2014.
http://dx.doi.org/10.1108/aeat-11-2013-0194

Boudjedir,H., Bouhali,O., Rizoug, N.,Adaptive Neural Network Control Based On Neural Observer For Quadcopter Unmanned Aerial Vehicle, Advanced Robotics, 28(17) :1151-1164, February 2014.
http://dx.doi.org/10.1080/01691864.2014.913498

Lei, X., Ge,S., Fang, J., Adaptive neural network control of small unmanned aerial rotorcraft, Journal of Intelligent & Robotic Systems, 75( 2): 331-341, December 2014.
http://dx.doi.org/10.1007/s10846-013-0017-2

Li, S., Wang,Y., Tan,J., Zheng Y., Adaptive Rbfnns/Integral Sliding Mode Control For A Quadcopter Aircraft, Neurocomputing, Vol. 216 : 126-134, July 2016.
http://dx.doi.org/10.1016/j.neucom.2016.07.033

Belhadri, K., Kouadri, B., Zegai, M., Adaptive Neural Control Algorithm Design for Attitude Stabilization of Quadrotor UAV, (2016) International Review of Automatic Control (IREACO), 9 (6), pp. 390-396.
http://dx.doi.org/10.15866/ireaco.v9i6.9919

Bresciani, T., Modelling, identification and control of a Quadcopter helicopter. Ph.D Thesis, Dept. of Automatic Control, Lund Univ., October 2008.
http://dx.doi.org/10.1504/ijmic.2008.021477

Chen,Y.,He,Y.,Zhou,M., Designing Fuzzy PID Controller for Quadcopter, International Journal of Advanced Research in Computer Science & Technology, Vol. 2(4): 221-227, Decembre 2014.
http://dx.doi.org/10.4028/www.scientific.net/amr.1037.225

Aurélio, T.S., Eckhard, D.,.Flores, J.V., Fernandes,G., Azevedo, G.,Disturbances, Observer And Nonlinear Damping Control For Fast Tracking Quadcopter Vehicles, Control Applications (CCA), 2016 IEEE Conference on. IEEE : 705-710, 2016.
http://dx.doi.org/10.1109/cca.2016.7587901

Nasr, M. B., Chtourou, M., Neural network control of nonlinear dynamic systems using hybrid algorithm. Applied Soft Computing, Vol. 24: 423-431, 2014.
http://dx.doi.org/10.1016/j.asoc.2014.07.023


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