An Efficient Model Predictive Control Scheme for an Unmanned Quadrotor Helicopter
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In this paper, an efficient Model Predictive Control (eMPC) algorithm deploying fewer prediction points and less computational requirement is presented in order to control a small or miniature unmanned quadrotor helicopter. A model reduction technique associated with the dynamics of an unmanned quadrotor helicopter is also put forward so as to minimize the burden of calculations in application of MPC into an airborne platform. For three-dimensional tracking control of the quadrotor helicopter, simulation results corresponding to the algebraic formulation—presented in this paper—versus the standard MPC formulation commonly found in the literature further illustrate effectiveness of this study. Unsuccessful implementation of the standard formulation on the testbed due to computational burden proves the necessity and advantages of this new approach. Eventually, to demonstrate effectiveness of the developed MPC algorithm, the suggested algebraic-based MPC framework is successfully implemented on an unmanned quadrotor helicopter testbed (known as Qball-X4) available at the Networked Autonomous Vehicles Lab (NAVL) of Concordia University for tracking control of the unmanned aerial vehicle.
KeywordsModel Predictive Control (MPC) Unmanned quadrotor helicopter Experimental flight test
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- 1.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)Google Scholar
- 2.Erginer, B., Altug, E.: Modeling and PD control of a quadrotor VTOL vehicle. In: IEEE Intelligent Vehicles Symposium, pp. 894–899 (2007)Google Scholar
- 3.Efe, M.O.: Robust low altitude behavior control of a quadrotor rotorcraft through sliding modes. In: Mediterranean Conf. on Control and Automation (2007)Google Scholar
- 4.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)Google Scholar
- 5.Madani, T., Benallegue, A.: Backstepping control for a quadrotor helicopter. In: International Conference on Intelligent Robots and Systems, pp. 3255–3260 (2006)Google Scholar
- 6.Maciejowski, J.M.: Predictive Control with Constraints. Prentice Hall (2000)Google Scholar
- 8.Kale, M.M., Chipperfield, A.J.: Reconfigurable flight control strategies using model predictive control. In: IEEE International Symposium on Intelligent Control, Taiwan, pp. 43–48 (2002)Google Scholar
- 10.Murray, R.M.: Optimization-Based Control. California Institute of Technology (2010)Google Scholar
- 13.Quanser’s Rapid Control Prototyping (QuaRC): http://www.quanser.com/quarc
- 14.Liu, Y.C.: Model predictive control with integral control and constraint handling for mechatronic systems. In: International Conference on Modelling, Identification and Control, Taiwan, pp. 424–429 (2010)Google Scholar