Abstract
In this paper, by effective use of a fast Quadratic Programing solver known as Hildreth’s Quadratic Programing Procedure, as well as adaptation of an Integral-Action-Embedded Model Predictive controller, it has been tried to design an autopilot control system for the purpose of three-dimensional trajectory tracking of an unmanned quad-rotor helicopter. Eventually, to demonstrate effectiveness and performance of the designed autopilot in addition to the simulation results, the suggested constrained MPC framework is successfully implemented on an unmanned quad-rotor helicopter testbed (known as Qball-X4) available at the Networked Autonomous Vehicles Lab. (NAVL) of Concordia University for three-dimensional autonomous flights of the system.
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Abdolhosseini, M., Zhang, Y.M., Rabbath, C.A. (2012). Trajectory Tracking with Model Predictive Control for an Unmanned Quad-rotor Helicopter: Theory and Flight Test Results. 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_41
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DOI: https://doi.org/10.1007/978-3-642-33509-9_41
Publisher Name: Springer, Berlin, Heidelberg
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