Abstract
The control of the helicopter includes nonlinearities, uncertainties and external perturbations that should be considered in the design of control laws. This paper presents a control strategy for quadrotor helicopter, based on the coupling of the fuzzy logic control and sliding mode control (SMC), using a nonlinear sliding surface. The main purpose of this work is to eliminate the chattering phenomenon. To achieve our purpose we have used a fuzzy logic control to generate the hitting control signal, the results of our simulations indicate that the control performance of the quadrotor are satisfactory and the proposed fuzzy sliding mode control (FSMC) can achieve favorable tracking performance.
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References
Lee, D., Jin Kim, H., Sastry, S.: Feedback Linearization vs. Adaptive Sliding Mode Control for a Quadrotor Helicopter. International Journal of Control, Automation, and Systems 7(3), 419–428 (2009)
Tayebi, A., McGilvray, S.: Attidude Stabilisation of a VTOL Quadrotor Aircraft. IEEE Transactions on Control Systems Technology 14(3) (May 2006)
Derafa, L., Madani, T., Benallegue: Dynamic modelling and experimental identification of four rotor helicopter parameters. ICIT, Mumbai (2006)
Bouabdallah, S., Noth, A., Siegwart, R.: PID vs LQ Control Techniques Applied to an Indoor Micro Quadrotor. Autonomous Systems Laboratory Swiss Federal Institute of Technology, Lausanne, Switzerland (2004)
Bouchoucha, M., Tadjine, M., Tayebi, A., Müllhaupt, P.: Step by Step Robust Nonlinear PI for Attitude Stabilisation of a Four-Rotor Mini-Aircraft. In: 16th Mediterranean Conference on Control and Automation Congress Centre, Ajaccio, France, June 25-27 (2008)
AI-Younes, Y., Jarrah, M.: Attitude Stabilization of Quadrotor Uav Using Backstepping Fuzzy logic Backstepping Least-Mean-Square Controllers. In: Proceeding of the 5th International Symposium on Mechatronics and its Applications (ISMA 2008), Amman, Jordan, May 27-29 (2008)
Bouabdallah, S., Siegwart, R.: Backstepping and Sliding-mode Techniques Applied to an Indoor Micro Quadrotor. In: Proceedings of the 2005 IEEE International Conference on Robotics and Automation, Barcelona, Spain (April 2005)
Das, A., Lewis, F., Subbarao, K.: Backstepping Approach for Controlling a Quadrotor Using Lagrange Form Dynamics. J. Intell. Robot. Syst. 56, 127–151 (2009)
Mokhtari, A., Benallegue, A., Daachi, B.: Robust Feedback Linearization and Gh∞ Controller for a Quadrotor Unmanned Aerial Vehicle. Journal of Electrical Engineering 57(1), 20–27 (2006)
Ahmad, A., Mian, W.D.: Modeling and Backstepping-based Nonlinear Control Strategy for a 6 DOF Quadrotor Helicopter. Chinese Journal of Aeronautics 21, 261–268 (2008)
Coza, C., Macnab, C.J.B.: A New Robust Adaptive-Fuzzy Control Method Applied to Quadrotor Helicopter Stabilization. Department of Electrical and Computer Engineering. University of Calgary, Calgary
Zemalache, K.M., Maaref, H.: Controlling a drone: Comparison between a based model method and a fuzzy inference system. Applied Soft Computing 9, 553–562 (2009)
Utkin, V.I.: Sliding Modes in Control and Optimization. Springer (1992)
Xu, R., Özgüner, Ü.: Sliding mode control of a class of underactuated systems. Automatica 44, 233–241 (2008)
Fang, Z., Zhi, Z., Jun, L., Jian, W.: Feedback Linearization and Continuous Sliding Mode Control for a Quadrotor UAV. In: Proceedings of the 27th Chinese Control Conference, Kunming, Yunnan, China, July 16-18 (2008)
Madani, T., Benallegue, A.: Backstepping Sliding Mode Control Applied to a Miniature Quadrotor Flying Robot. Laboratoire d’Ingénierie des Systèmes de Versailles 10-12, avenue de l’Europe, 78140 Vélizy – France
Yeganefar, N., Dambrine, M., Kokosy, A.: Stabilisation pratique par modes glissant pour un systeme linéaire à retard. In: Conférence Internationale D’automatique, Tunisia (2004) (in French)
Liu, J.Z., Zhao, W.J., Zhang, L.J.: Design of sliding mode controller based on fuzzy logic. In: Proceedings of the 3rd IEEE Conference on Machine Learning and Cybernetics, pp. 616–619. IEEE press, Shanghai (2004)
Kim, S.W., Lee, J.J.: Design of a fuzzy controller with fuzzy sliding surface. Fuzzy Sets and System 71(3), 359–367 (1995)
Mian, A.A., Wang, D.-B.: Dynamic modeling and nonlinear control strategy for an underactuated quad rotor rotorcraft. Journal of Zhejiang University Science A 9(4), 539–545 (2008)
Corchado, E., Abraham, A., Carvalho, A.: Hybrid intelligent algorithms and applications. Information Sciences 180(14), 2633–2634 (2010)
Pedrycz, W., Aliev, R.: Logic-oriented neural networks for fuzzy neurocomputing. Neurocomputing 73(1-3), 10–23 (2009)
Abraham, A., Corchado, E., Corchado, J.M.: Hybrid learning machines. Neurocomputing 72(13-15), 2729–2730 (2009)
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Zeghlache, S., Saigaa, D., Kara, K., Harrag, A., Bouguerra, A. (2012). Fuzzy Sliding Mode Control with Chattering Elimination for a Quadrotor Helicopter in Vertical Flight. In: Corchado, E., Snášel, V., Abraham, A., Woźniak, M., Graña, M., Cho, SB. (eds) Hybrid Artificial Intelligent Systems. HAIS 2012. Lecture Notes in Computer Science(), vol 7208. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-28942-2_12
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DOI: https://doi.org/10.1007/978-3-642-28942-2_12
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