Abstract
This paper focuses on a novel algorithm for the control of formation flight of a set of n-quadrotors based on the differential game approach. The mathematical model of n-quadrotors is presented using the Newton-Euler formulation considering the disturbances, and the formation flight scheme based on the game approach consists of one vehicle acting as a leader following a pre-designed trajectory meanwhile the others vehicles just follow the leader even in the presence of disturbances. A reduced dimension Riccati equation is solved in order to obtain the desired coordination. A numerical example is given in order to illustrate the effectiveness of the approach for the formation flight.
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References
R. Isaacs, Differential Games, John Wiley and Sons, Inc., USA, 1965.
B. J. Goode and M. J. Roan, “A differential game theoretic approach for two-agent collision avoidance with travel limitations,” The Journal of Intelligent and Robotic Systems, vol. 67, no. 3, pp. 201–218, September 2012.
J. B. Cruz and T. Xiaohuan, Dynamic Noncooperative Game Models for Deregulated Electricity, Nova Science Publishers, USA, 2009.
E. Dockner, S. Jorgensen, N. Van Long, and G. Sorger, Differential Games in Economics and Management Science, Cambridge University Press, UK, 2009.
D. Gu, “A differential game approach to formation control,” IEEE Transactions on Control Systems Technology, vol. 16, no. 1, pp. 85–93, January 2008.
K. Maler and A. De Zeeuw, “The acid rain differential game,” Environmental and Resource Economics, vol. 12, no. 2, pp. 167–184, September 1998.
J. C. Engwerda, B. Van Aarle, and J. Plasmans, “The infinite horizon open-loop nash LQ game: an application to EMU,” Annals of Operational Research, vol. 88, pp. 251–273, January 1999.
T. Basar and G. Olsder, Dynamic Noncooperative Game Theory, SIAM, Philadelphia, USA, 1999.
A. Starr and Y. Ho, “Nonzero-sum differential games,” Journal of Optimization Theory and Applications, vol. 3, no. 3, pp. 184–206, March 1969.
A. Starr and Y. Ho, “Further propeties of nonzero-sum differential games,” Journal of Optimization Theory and Applications, vol. 3, no. 4, pp. 207–219, April 1969.
W. Dubnar and R. Murray, “Model predictive control of coordinated muti-vehicle formation,” Automatica, vol. 2, no. 4, pp. 549–558, 2006.
E. Camponogara, D. Jia, B. Krogh, and S. Talukdar, “Distributed model predictive control,” IEEE Transaction on Automatic Control, vol. 22, no. 1, pp. 44–52, August 2002.
J. P. Desai, J. P. Ostrowski, and V. Kumar, “Modelling and control of formations of nonholonomic mobile robots,” IEEE Transactions on Robotics and Automation, vol. 17, no. 6, pp. 905–908, December 2001.
G. Vachtsevanos, L. Tang, and J. Reimann, “An intelligent approach to coordinated control of multiple unmanned aerial vehicles,” presented at the Amer. Helicopter Soc. 60th Annu. Forum, Baltimore, MD, 2004.
T. Paul, T. R. Krogstad, and J. T. Gravdahl., “UAV formation flight using 3D potential field,” Proc. of 16th Mediterranean Conference on Control and Automation, pp. 1240–1245, August 2008.
Z. Lin and R. M. Murray, “Double-graph control strategy of multivehicle formations,” Proc. of 43rd IEEE Conference on Decision and Control, The Atlantis, Paradise Islands, The Bahamas, December 2004.
B. S. Park and S. J. Yoo, “Adaptive leader-follower formation control of mobile robots with unknown skidding and slipping effects,” International Journal of Control, Automation, and Systems, vol. 13, no. 3, pp. 3587–594, February 2015.
F. A. P. Lie and T. H. Go, “A collision-free formation reconfiguration control approach for unmanned aerial vehicles,” International Journal of Control, Automation, and Systems, vol. 8, no. 5, pp. 1100–1107, October 2010.
H. Yang, B. Jiang, and Y. Zhang, “Fault-tolerant shortest connection topology design for formation control,” International Journal of Control, Automation, and Systems, vol. 12, no. 1, pp. 29–36, February 2014.
F. Munoz, E. S. Espinoza Quesada, Hung M. La, S. Salazar, S. Commuri, and L. R. Garcia Carrillo, “Adaptive consensus algorithms for real-time operation of multi-agent systems affected by switching network events,” International Journal of Robust and Nonlinear Control, vol. 27, no. 9, pp. 1566–1588, 2016.
Z. Li, W. Ren, X. Liu, and L. Xie, “Distributed consensus of linear multi-agent systems with adaptive dynamic protocols,” Automatica, vol. 49, no. 7, pp. 1956–1995, July 2013.
Z. Li, X. Liu, W. Ren, and L. Xie, “Distributed tracking control for linear multiagent systems with a leader of bounded unknown input,” IEEE Transactions on Automatic Control, vol. 58, no. 2, pp. 518–523, 2013.
L. Cheng, Y. Wang, W. Ren, Z. G. Hou, and M. Tan, “On convergence rate of leader-following consensus of linear multi-agent systems with communication noises,” IEEE Transactions on Automatic Control, vol. 61, no. 11, pp. 3586–3592, January 2016.
Z. Li and Z. Duan, “Distributed consensus protocol design for general linear multi-agent systems: a consensus region approach,” IET Control Theory and Applications, vol. 8, no. 18, pp. 2145–2161, December 2014.
M. Zhu and S. Martinez, Distributed Optimization-Based Control of Multi-Agent Networks in Complex Environments, Springer International Publishing, ISBN: 978-3-319-19071-6, 2015.
Y. Chen and J. Sun, “Distributed optimal control for multiagent systems with obstacle avoidance,” Neurocomputing, vol. 173, no. 3, pp. 2014–2021, January 2016.
X. Dong, Y. Zhou, Z. Ren, and Y. Zhong, “Timevarying formation tracking for second-order multi-agent systems subjected to switching topologies with application to quadrotor formation flying,” IEEE Transactions on Industrial Electronics, vol. 64, no. 6, pp. 5014–5024, June 2017.
X. Dong, B. Yu, Z. Shi, and Y. Zhong, “Time-varying formation control for unmanned aerial vehicles: Theories and applications,” IEEE Transactions on Control Systems Technology, vol. 23, no. 1, pp. 340–348, April 2015.
X. Dong, Y. Zhou, Z. Ren, and Y. Zhong, “Timevarying formation control for unmanned aerial vehicles with switching interaction topologies,” Control Engineering Practice, vol. 46, pp. 26–361, January 2016.
Y. Wu, R. Lu, P. Shi, H. Su, and Z. G. Wu, “Adaptive output synchronization of heterogeneous network with an uncertain leader,” Automatica, vol. 76, pp. 183–192, February 2017.
Y. Wu, X. Meng, L. Xie, R. Lu, H. Su, and Z. G. Wu, “An input-based triggering approach to leader-following problems,” Automatica, vol. 75, pp. 221–228, January 2017.
D. Gu, “A differential game approach to formation control,” IEEE Transactions on Control Systems Technology, vol. 16, pp. 85–93, 2008.
S. M. LaValle, “Robot motion planning: a game-theoretic foundation,” Algorithmica, vol. 26, pp. 430–465, April 2000.
B. L. Stevens and F. L. Lewis, Aircraft Control and Simulation, John Wiley and Sons, USA, 1992.
F. L. Lewis, H. Zhang, K. Hengster-Movric, and A. Das, Cooperative Control of Multi-Agent Systems: Optimal and Adaptive Design Approaches, Springer, 2014.
A. Sanchez, V. Parra-Vega, C. Izaguirre, and O. Garcia, “Position-yaw tracking of quadrotors,” Journal of Dynamic Systems, Measurement and Control, ASME, vol. 137, no. 6, pp. 061011, Paper No: DS-13-1322, June 2015.
R. Lozano, Unmanned Aerial Vehicles Embedded Control, John Wiley-ISTE Ltd, USA, 2010.
R. F. Stengel, Flight Dynamics, Princeton University Press, USA, 2004.
J G. Leishman, Principles of Helicopter Aerodynamics, Cambridge University Press, USA, 2006.
S. Levinson, H. Weiss, and J. Ben-Asher, “Trajectory shaping and terminal guidance using linear quadratic differential game,” AIAA Guidance, Navigation and Control Conference and Exhibit, 2002.
L. Dongxu and J. B. Cruz, “Defending an asset: a linear quadratic game approach,” IEEE Transaction on Aerospace and Electronics Systems, vol. 47, no. 2, pp. 1026–1042, April 2011.
J. C. Engwerda, LQ Dynamic Optimization and Differential Games, Wiley, 2005.
J. C. Engwerda, Uncertainty in a Fishery Management Game, Inbook: Linear Quadratic Dynamic Optimization and Differential Game Theory, John Wiley and Sons, Chichester, USA, 2005.
J.C. Engwerda, “On the Open-loop Nash Equilibrium in LQ-games,” Journal of Economic Dynamics and Control, vol. 22, pp. 729–762, May 1998.
N. Michael, J. Fink, and V. Kumar, “Cooperative manipulation and transportation with aerial robots,” Autonomous Robots, vol. 30, no. 1, pp. 73–86, 2011.
V. Parra-Vega, A. Sanchez, C. Izaguirre, O. Garcia, and F. Ruiz-Sanchez, “Toward aerial grasping and manipulation with multiple UAVs,” Journal of Intelligent and Robotic Systems, Springer, vol. 70, no.1, pp. 575–593, September 2012.
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Recommended by Associate Editor Hongyi Li under the direction of Editor Yoshito Ohta. Manuel Jimenez-Lizarraga was supported by project 169734 of National Council of Science and Technology of Mexico (CONACYT).
Manuel Jimenez-Lizarraga received the B.Sc. degree in electrical engineering from Culiacan Institute of Technology, Sinaloa Mexico, and the M.S. and Ph.D. degrees in Automatic Control from CINVESTAV-IPN Mexico, in 1996, 2000, and 2006 respectively. He was postdoc fellow at the ECE Department of the Ohio State University, USA from 2008–2009. He is currently with the Faculty of Physical and Mathematical Sciences of Autonomous University of Nuevo Leon, Mexico. His research interests include differential games, robust, optimal and sliding mode control and applications.
Octavio Garcia obtained a B.Sc. degree in electronic engineering and the M.Sc. in electrical engineering from the Technological Institute of La Laguna, Torreon Coahuila Mexico, in 2000 and 2003 respectively. He obtained a Ph.D. in control systems from the University of Technology of Compiegne, France, in 2009. From January 2010 to December 2011, he held a post as a CNRS postdoctoral researcher in the laboratory LAFMIA UMI 3175 CNRS-CINVESTAV Mexico DF, Mexico. From January 2012 to December 2012, he was as visiting researcher in the Biomedical Engineering and Physics Division and the Laboratory of Non-inertial Robots and Man-machine Interfaces, CINVESTAV Monterrey. Since January 2013, he has been working in the Faculty of Mechanical and Electrical Engineering of the Autonomous University of Nuevo Leon, Monterrey Nuevo Leon Mexico. His research interests are in nonlinear control theory with applications in aerospace, robotics and mechanical systems, guidance, navigation and control of UAVs, digital signal processing and instrumentation.
Ricardo Chapa-Garcia received the B.Sc. degree in Mechatronics Engineering, Area of Automatization from the Technological University of Escobedo, Nuevo Leon, Mexico, in 2012, and currently he is studying a Ph.D. in Industrial Physics Engineering at the Faculty of Physics and Mathematics Science from the Autonomous University of Nuevo Leon, Mexico. His research interests include differential games, mini-UAVs, robotics and simulations.
Erik G. Rojo-Rodriguez obtained a B.Sc. degree in Mechatronics in the Faculty of Mechanical and Electrical Engineering of the Autonomous University of Nuevo León, Mexico, and the M.Sc. in aeronautical engineering from the same faculty in 2017. He participated as a research assistant in the Advanced Manufacturing Laboratory of the Research and Innovation Center of Aeronautical Engineering of the same university, developing general skills in the different areas of the aeronautical field. He is currently studying his PhD degree in, and his main field of research is the cooperation of multi-agent systems using different techniques of coordination and Non-linear control for Unmanned Aerial Vehicles.
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Jimenez-Lizarraga, M., Garcia, O., Chapa-Garcia, R. et al. Differential Game-based Formation Flight for Quadrotors. Int. J. Control Autom. Syst. 16, 1854–1865 (2018). https://doi.org/10.1007/s12555-017-0137-8
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DOI: https://doi.org/10.1007/s12555-017-0137-8