Abstract
In this paper two useful control techniques are applied to a Quadrotor helicopter to control the height and while carrying a payload weighing one-fourth of its total weight as well as dropping the payload at a predetermined time. The first technique used in this paper is the Gain Scheduled Proportional Integral Derivative (GS-PID) control and the Model Predictive Control (MPC) algorithm is studied secondly. Both algorithms showed a very promising performance. Finally, both algorithms are successfully implemented on an unmanned quadrotor helicopter testbed (known as Qball-X4) available at the Networked Autonomous Vehicles Lab (NAVL) of Concordia University for height control to demonstrate effectiveness and stability of the two techniques. The results are presented and compared at the last section of this paper.
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References
Erginer, B., Altug, E.: Modeling and PD Control of a Quadrotor VTOL Vehicle. In: IEEE Intelligent Vehicles Symposium, pp. 894–899 (2007)
Oner, K., Cetinsoy, E., Unel, M., Aksit, M., Kandemir, I., Gulez, K.: Dynamic Model and Control of a New Quadrotor UAV with Tilt-wing Mechanism. In: World Academy of Science, Engineering and Technology (2008)
Efe, M.O.: Robust Low Altitude Behavior Control of a Quadrotor Rotorcraft Through Sliding Modes. In: Mediterranean Conf. on Control and Automation (2007)
Bouadi, H., Bouchoucha, M., Tadjine, M.: Sliding Mode Control Based on Backstepping Approach for an UAV Type-quadrotor. In: World Academy of Science, Engineering and Technology (2007)
Abdolhosseini, M., Zhang, Y., Rabbath, C.A.: An Efficient Model Predictive Control Scheme for an Unmanned Quadrotor Helicopter. In: International Conference on Unmanned Aircraft Systems (2012)
Madani, T., Benallegue, A.: Backstepping Control for a Quadrotor Helicopter. In: International Conference on Intelligent Robots and Systems, pp. 3255–3260 (2006)
Soldiers Magazine (2007), http://findarticles.com/p/articles/mi_m0OXU/is_5_62/ai_n27236124/
Maciejowski, J.M.: Predictive Control with Constraints. Prentice-Hall (October 2000)
Lee, J.H.: Model Predictive Control: Review of the Three Decades of Development. International Journal of Control, Automation, and Systems 9(3), 415–424 (2011)
Quansers Rapid Control prototyping (QuaRC), http://www.quanser.com/quarc
Sadeghzadeh, I., Mehta, A., Chamseddine, A., Zhang, Y.: Active Fault-Tolerant Control of a Quadrotor UAV Based on Gain-Scheduled PID Control. In: IEEE Canadian Conference on Electrical and Computer Engineering (2012)
Astrom, K.J., Wittenmark, B.: Adaptive Control, 2nd edn. Dover (2008)
Wang, L.: Model Predictive Control System Design and Implementation Using MATLAB. Springer, London (2009)
Fletcher, R.: Practical Methods of Optimization, 2nd edn. John Wiley & Sons (1987)
Dimitrov, D., Wieber, P.B., Stasse, O., Ferreau, H.J., Diedam, H.: An Optimized Linear Model Predictive Control Solver, pp. 309–318. Springer (2010)
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Sadeghzadeh, I., Abdolhosseini, M., Zhang, Y.M. (2012). Payload Drop Application of Unmanned Quadrotor Helicopter Using Gain-Scheduled PID and Model Predictive Control Techniques. In: Su, CY., Rakheja, S., Liu, H. (eds) Intelligent Robotics and Applications. ICIRA 2012. Lecture Notes in Computer Science(), vol 7506. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-33509-9_38
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DOI: https://doi.org/10.1007/978-3-642-33509-9_38
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