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http://dx.doi.org/10.5139/JKSAS.2014.42.10.842

Trajectory Tracking Controller Design using L1 Adaptive Control for Multirotor UAVs  

Jung, Yeundeuk (Korea Advanced Institute of Science and Technology)
Cho, Sungwook (Korea Advanced Institute of Science and Technology)
Shim, Hyunchul (Korea Advanced Institute of Science and Technology)
Publication Information
Journal of the Korean Society for Aeronautical & Space Sciences / v.42, no.10, 2014 , pp. 842-850 More about this Journal
Abstract
This paper presents a trajectory tracking controller for rotorcraft UAVs to improve the tracking performances in the presence of various uncertainties. The proposed tracking method consists of a velocity guidance law based on the relative distance and L1 adaptive augmentation loop for tracking the velocity commands. In the proposed structure, the desired velocity generated by the guidance law is the reference value of the adaptive controller for accurate path tracking. In the guidance law, the desired acceleration is generated based on the relative distance and its derivatives, and then the velocity command of the inner control loop is calculated by integrating the accelerations. $L_1$ augmentation loop supplements the linear controller to guarantee the flight performances such as a tracking accuracy in the presence of the uncertainties. The proposed controller was validated in actual flight tests to successfully demonstrate its capability using a quadrotor UAV.
Keywords
Trajectory Tracking; $L_1$ adaptive control; Multirotor;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 D.Lee, H.J. Kim, and S.Sastry, "Feedback linearization vs. adaptive sliding mode control for a quadrotor helicopter," International Journal of Control, Automation, and Systems, vol. 7, 2009, pp. 419-428.   과학기술학회마을   DOI
2 A. Kopeikinm, S. Ponda, L.Johnson, and J. How, "Multi-UAV Network Control through Dynamic Task Allocation: Ensuring Data-Rate and Bit-Error-Rate Support" The 3rd Internatinal Workshop on Wireless Networking & Control for Unmanned Autonomous Vehicles: Architectures, Protocols and Applications, Anaheim, USA, Dec. 2012, pp.1579-1584
3 C. Cao, and N. Hovakimyan, "Design and Analysis of a Novel $L_1$ Adaptive Control Architecture, Part I: Control Signal and Asymptotic Stability." American Control Conference, Minneapolis, USA, 2006, pp. 3397-3402
4 V. Patel, C. Cao, N. Hovakimyan., Wise, K., and Lavretskym, E., "$L_1$ Adaptive Controller for Tailless Unstable Aircraft in the Presence of Unknown Actuator Failures," International Journal of Control, Vol.82, No.4, Apr. 2009, pp. 705-720   DOI
5 I. Kaminer, A. Pascoal, E. Xargay, C. Cao, N. Hovakimyan, and Dobrokhodov, V., "Path Following for Unmanned Aerial Vehicles Using L1 Adaptive Augmentation of Commercial autopilots," Journal of Guidance, Control and Dynamics, Vol. 33, No. 2, 2010, pp.550-564   DOI
6 Gary Bradski and Kaehler, "Learning OpenCV", O'REILLY, Sep. 2008, pp. 370-403
7 E. Frazzoli, M. Dahleh, and E. Feron, "Trajectory tracking control design for autonomous helicopters using a backstepping algorithm," in Proceedings of the American Control Conference, Chicago, USA, 2000, pp.4102-4107
8 Samir Bouabdallah, Pierpaolo Murrieri and Roland Siegwart, "Towards Autonomous Indoor Micro VTOL", Autonomous Robots, Vol. 18, No. 2, Mar. 2005, pp. 171-183   DOI
9 J. Hauser, S. Sastry, and G. Meyer, "Nonlinear control design for slightly non-minimum phase systems: Application to v/stol aircraft," Automatica, Vol. 28, 1992, pp. 665-679   DOI   ScienceOn