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2019 | OriginalPaper | Chapter

Trajectory Tracking Control of a Quadcopter UAV Using Nonlinear Control

Authors : Abdulkader Joukhadar, Mohammad AlChehabi, Christoph Stöger, Andreas Müller

Published in: Mechanism, Machine, Robotics and Mechatronics Sciences

Publisher: Springer International Publishing

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Abstract

Recently trajectory tracking control of a quadcopter has been paid attention by academic and industry. This paper proposes two different strategies for trajectory tracking control of a quadcopter system implementing nonlinear control theory. The first approach is based on the integral backstepping technique, the second proposed one is an LQI (Linear Quadratic Integral) optimal controller with a feedback linearization so as to deal with the nonlinearity and the coupling components of the quadcopter state variables. The control laws for trajectory tracking using the proposed two strategies were validated by simulation and experimental results obtained from a quadcopter test bench. Simulation results show a comparison between the performance of each of the two control laws depending on the nonlinear model of the quadcopter system under investigation; the trajectory tracking has been achieved properly for different types of trajectories in presence of unknown disturbances. Simulation and practical results have shown coincided tracking with the command signals of the desired attitude. Superior tracking control has been exhibited with the proposed LQI optimal controller. It has been also noted that the proposed control approach exhibits an inherited decoupling control action, for which the control of one axis angle has relieved the dynamic coupling effect on the other two axes. Furthermore, intensive practical results have demonstrated the robustness of the proposed controller.

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Literature
1.
go back to reference Nonami K, Kendoul F, Suzuki S et al. (2013) Autonomous flying robots. Springer, pp 1–75 Nonami K, Kendoul F, Suzuki S et al. (2013) Autonomous flying robots. Springer, pp 1–75
2.
go back to reference Carillo L, López A, Lozano R et al. (2013) Quad rotorcraft control. Springer, pp 1–58 Carillo L, López A, Lozano R et al. (2013) Quad rotorcraft control. Springer, pp 1–58
3.
go back to reference Castillo P, Lozano R, Dzul AE (2005) Modeling and control of mini flying machines. Springer, pp 1–56 Castillo P, Lozano R, Dzul AE (2005) Modeling and control of mini flying machines. Springer, pp 1–56
4.
go back to reference Cui G, Chen B, Lee T (2011) Unmanned rotorcraft systems. Springer, pp 1–23 Cui G, Chen B, Lee T (2011) Unmanned rotorcraft systems. Springer, pp 1–23
5.
go back to reference Khalil H (2002) Nonlinear systems. Prentice Hall, pp 505–603 Khalil H (2002) Nonlinear systems. Prentice Hall, pp 505–603
6.
go back to reference Krstić M, Kanellakopoulos I, Kokotović P (1995) Nonlinear adaptive control design. Wiley, 1st edn, pp 19–86 Krstić M, Kanellakopoulos I, Kokotović P (1995) Nonlinear adaptive control design. Wiley, 1st edn, pp 19–86
7.
go back to reference Anderson B, Moore J (1989) Optimal control: linear quadratic method’ Prentice-Hall, pp 1–99 Anderson B, Moore J (1989) Optimal control: linear quadratic method’ Prentice-Hall, pp 1–99
8.
go back to reference Bouabdullah S (2007) Design and control of quadrotors with application to autonomous flying. PhD thesis No. 3727, EPFL Bouabdullah S (2007) Design and control of quadrotors with application to autonomous flying. PhD thesis No. 3727, EPFL
9.
go back to reference Raffo G, Ortega M, Rubio F (2008) Backstepping/nonlinear H∞ control for path tracking of a quadrotor unmanned aerial vehicle’ american control conference. Washington, USA, Seatle, pp 3356–3361 Raffo G, Ortega M, Rubio F (2008) Backstepping/nonlinear H control for path tracking of a quadrotor unmanned aerial vehicle’ american control conference. Washington, USA, Seatle, pp 3356–3361
10.
go back to reference Saif A, Dhaifullah M, Al-Malki, M et al. (2012) Modified integral backstepping control of quadrotor’ 9th international conference on systems. Signal and Devices Saif A, Dhaifullah M, Al-Malki, M et al. (2012) Modified integral backstepping control of quadrotor’ 9th international conference on systems. Signal and Devices
11.
go back to reference Diao C, Xian B, Gu X et al. (2012) Nonlinear control for an underactuated quadcopter unmanned aerial vehicle with parametric uncertainties’ proceeding of 31st chinese conference on automatic control, Hefei, China, July 25–27, pp 998–1003 Diao C, Xian B, Gu X et al. (2012) Nonlinear control for an underactuated quadcopter unmanned aerial vehicle with parametric uncertainties’ proceeding of 31st chinese conference on automatic control, Hefei, China, July 25–27, pp 998–1003
12.
go back to reference Khebbache H, Tadjine M (2013) Robust fuzzy backstepping sliding mode control for a quadcopter unmanned aerial vehicle. CEAI 15(2):3–11 Khebbache H, Tadjine M (2013) Robust fuzzy backstepping sliding mode control for a quadcopter unmanned aerial vehicle. CEAI 15(2):3–11
13.
go back to reference Fang Z, Gao W (2012) adaptive backstepping control of an indoor micro-quadcopter. Res J Appl Sci Eng Technol 4(21):4216–4226 Fang Z, Gao W (2012) adaptive backstepping control of an indoor micro-quadcopter. Res J Appl Sci Eng Technol 4(21):4216–4226
14.
go back to reference Santos O, Romero H, Salazar, S, et al. (2014) Discrete optimal control for a quadcopter UAV experimental approach. In: 2014 International conference on unmanned aircraft systems, Orlando, Fl, USA, May 27–30, 2014, pp 1138–1145 Santos O, Romero H, Salazar, S, et al. (2014) Discrete optimal control for a quadcopter UAV experimental approach. In: 2014 International conference on unmanned aircraft systems, Orlando, Fl, USA, May 27–30, 2014, pp 1138–1145
15.
go back to reference Araar O, Aouf N, Full linear control of a quadrotor UAV, LQ versus H∞. UKACC International conference on control, loughborough, U.K, 9th–11th July 2014, pp 25–30 Araar O, Aouf N, Full linear control of a quadrotor UAV, LQ versus H. UKACC International conference on control, loughborough, U.K, 9th–11th July 2014, pp 25–30
16.
go back to reference Suicmez E, Kutay A (2014) Optimal path tracking control of a quadrotor UAV’ 2014 International conference on unmanned aircraft systems, Orlando, Fl, USA, May 27–30, pp 115–125 Suicmez E, Kutay A (2014) Optimal path tracking control of a quadrotor UAV’ 2014 International conference on unmanned aircraft systems, Orlando, Fl, USA, May 27–30, pp 115–125
17.
go back to reference Satici A, Poonawla H, Spong M (2013) Robust optimal control of quadrotor UAVs’ IEEE, vol 1, pp 79–93CrossRef Satici A, Poonawla H, Spong M (2013) Robust optimal control of quadrotor UAVs’ IEEE, vol 1, pp 79–93CrossRef
18.
go back to reference Araar O, Aouf N (2014) Quadrotor control for trajectory tracking in presence of wind disturbances’ UKACC International conference on control, loughborough, U.K, 9th–11th July 2014, pp 25–30 Araar O, Aouf N (2014) Quadrotor control for trajectory tracking in presence of wind disturbances’ UKACC International conference on control, loughborough, U.K, 9th–11th July 2014, pp 25–30
19.
go back to reference Mellinger D, Kumar V (2011) Minimum snap trajectory generation and control for quadcopters. IEEE International conference on robotics and automation, IEEE, May 2011, pp 2520–2525 Mellinger D, Kumar V (2011) Minimum snap trajectory generation and control for quadcopters. IEEE International conference on robotics and automation, IEEE, May 2011, pp 2520–2525
20.
go back to reference Xu D, Guo L (2012) Modelling and trajectory tracking control of a quad-rotor UAV’ the 2nd International conference on computer application and system modelling, Paris, France, pp 1015–1018 Xu D, Guo L (2012) Modelling and trajectory tracking control of a quad-rotor UAV’ the 2nd International conference on computer application and system modelling, Paris, France, pp 1015–1018
21.
go back to reference Adigbli P (2007) Nonlinear attitude and position control of a micro quadrotor using sliding mode and backstepping techniques. MAV07 & EMAV2007, Toulouse, France, 17–21 September, 2007, pp 1–9 Adigbli P (2007) Nonlinear attitude and position control of a micro quadrotor using sliding mode and backstepping techniques. MAV07 & EMAV2007, Toulouse, France, 17–21 September, 2007, pp 1–9
Metadata
Title
Trajectory Tracking Control of a Quadcopter UAV Using Nonlinear Control
Authors
Abdulkader Joukhadar
Mohammad AlChehabi
Christoph Stöger
Andreas Müller
Copyright Year
2019
DOI
https://doi.org/10.1007/978-3-319-89911-4_20

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