Formation Optimization for Multiple UAVs by Considering Constrained Effectiveness and Attitude Coupling Tracking
Publication: Journal of Aerospace Engineering
Volume 37, Issue 1
Abstract
Multiple unmanned aerial vehicle (UAV) cooperative operations have been proposed as a relatively new concept for improving the combat capability of a single UAV, and formation control is the focus and core technology of multi-UAV cooperative operations. However, the existing control methods rarely focus on the optimization of UAV formation based on constrained effectiveness, and faster tracking performance is required in formation control. Therefore, this study presents a 6 degrees-of-freedom UAV formation control architecture that integrates trajectory planning and attitude control by considering the constrained effectiveness of optimal formation and coupling effect. To achieve formation selection and geometry parameter optimization in a battlefield environment, a formation-constrained effectiveness model based on battlefield effectiveness was proposed, and the formation was optimized using the simulated annealing particle swarm optimization (SAPSO) method. To verify the accuracy and effectiveness of formation optimization and control, five UAV formation flight scenarios based on combat effectiveness formation were designed. Numerical simulation results show that the proposed optimization algorithm can maximizes battlefield effectiveness based on the formation-constrained effectiveness model; the proposed trajectory planning accurately tracked the relative position commands with a fast response time and short rising time; the proposed coupling effect–involved attitude control method was compared with the conventional attitude control method to demonstrate the efficiency of the proposed method; and the controller considering coupling had a faster trajectory response in the coupling effect zone. These results suggest that the proposed approach has a better tracking performance and demonstrates high efficiency and accuracy in UAV formation control.
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Data Availability Statement
Some or all data, models, or code that support the findings of this study are available from the corresponding author upon reasonable request, including MATLAB scripts and SIMULINK models.
Acknowledgments
This work was supported in part by the National Natural Science Foundation of China (Grant Nos. 52272404 and 92271109), and in part by Ningbo Natural Science Foundation (Program No. 2021J045).
References
Alfeo, A. L., M. G. C. A. Cimino, and G. Vaglini. 2019. “Enhancing biologically inspired swarm behavior: Metaheuristics to foster the optimization of UAVs coordination in target search.” Comput. Oper. Res. 110 (Oct): 34–47. https://doi.org/10.1016/j.cor.2019.05.021.
Binetti, P., K. B. Ariyur, M. Krstic, and F. Bernelli. 2003. “Formation flight optimization using extremum seeking feedback.” J. Guid. Control Dyn. 26 (1): 132–142. https://doi.org/10.2514/2.5024.
Chen, H., X. Wang, L. Shen, and Y. Cong. 2021. “Formation flight of fixed-wing UAV swarms: A group-based hierarchical approach.” Chin. J. Aeronaut. 34 (2): 504–515. https://doi.org/10.1016/j.cja.2020.03.006.
Dong, W., J. A. F. Fellow, M. M. Polycarpou, V. Djapic, and M. Sharma. 2012. “Command filtered adaptive backstepping.” IEEE Trans. Control Syst. Technol. 20 (3): 566–580. https://doi.org/10.1109/TCST.2011.2121907.
Dong, X., and G. Hu. 2016. “Time-varying formation control for general linear multi-agent systems with switching directed topologies.” Automatica 73 (Jun): 47–55. https://doi.org/10.1016/j.automatica.2016.06.024.
Ginoya, D., P. D. Shendge, and S. B. Phadke. 2014. “Sliding mode control for mismatched uncertain systems using an extended disturbance observer.” IEEE Trans. Ind. Electron. 61 (4): 1983–1992. https://doi.org/10.1109/TIE.2013.2271597.
Guo, Z., J. Guo, J. Zhou, J. Zhao, and B. Zhao. 2018. “Reentry attitude tracking via coupling effect-triggered control subjected to bounded uncertainties.” Int. J. Syst. Sci. 49 (12): 2571–2585. https://doi.org/10.1080/00207721.2018.1506065.
Hafez, A. T., A. J. Marasco, S. N. Givigi, M. Iskandarani, S. Yousefi, and C. A. Rabbath. 2015. “Solving multi-uav dynamic encirclement via model predictive control.” IEEE Trans. Control Syst. Technol. 23 (6): 2251–2265. https://doi.org/10.1109/TCST.2015.2411632.
He, L., P. Bai, X. Liang, J. Zhang, and W. Wang. 2018. “Feedback formation control of UAV swarm with multiple implicit leaders.” Aerosp. Sci. Technol. 72 (Jan): 327–334. https://doi.org/10.1016/j.ast.2017.11.020.
Kang, S., H. Choi, and Y. Kim. 2013. “Formation flight and collision avoidance for multiple UAVs using concept of elastic weighting factor.” Int. J. Aeronaut. Space Sci. 14 (1): 75–84. https://doi.org/10.5139/IJASS.2013.14.1.75.
Lawton, J. R. T., R. W. Beard, and B. J. Young. 2003. “A decentralized approach to formation maneuvers.” IEEE Trans. Rob. Autom. 19 (6): 933–941. https://doi.org/10.1109/TRA.2003.819598.
Lewis, M. A., and K.-H. Tan. 1997. “High precision formation control of mobile robots using virtual structures.” Auton. Rob. 4 (4): 387–403. https://doi.org/10.1023/A:1008814708459.
Li, H., Q. Liu, G. Feng, and X. Zhang. 2021. “Leader–follower consensus of nonlinear time-delay multiagent systems: A time-varying gain approach.” Automatica 126 (Apr): 109444. https://doi.org/10.1016/j.automatica.2020.109444.
Lungu, M. 2019. “Auto-landing of fixed wing unmanned aerial vehicles using the backstepping control.” ISA Trans. 95 (Feb): 194–210. https://doi.org/10.1016/j.isatra.2019.05.019.
Muslimov, T. Z., and R. A. Munasypov. 2020. “Adaptive decentralized flocking control of multi-Uav circular formations based on vector fields and backstepping.” ISA Trans. 107 (Dec): 143–159. https://doi.org/10.1016/j.isatra.2020.08.011.
Oh, K.-K., M.-C. Park, and H.-S. Ahn. 2015. “A survey of multi-agent formation control.” Automatica 53 (Mar): 424–440. https://doi.org/10.1016/j.automatica.2014.10.022.
Park, B. S., and S. J. Yoo. 2021. “Connectivity-maintaining and collision-avoiding performance function approach for robust leader–follower formation control of multiple uncertain underactuated surface vessels.” Automatica 127 (May): 109501. https://doi.org/10.1016/j.automatica.2021.109501.
Saska, M., T. Baca, J. Thomas, J. Chudoba, L. Preucil, T. Krajnik, J. Faigl, G. Loianno, and V. Kumar. 2017. “System for deployment of groups of unmanned micro aerial vehicles in Gps-denied environments using onboard visual relative localization.” Auton. Rob. 41 (Apr): 919–944. https://doi.org/10.1007/s10514-016-9567-z.
Snell, S. A., D. F. Enns, and W. L. Garrard. 1992. “Nonlinear inversion flight control for a supermaneuverable aircraft.” J. Guid. Control Dyn. 15 (4): 976–984. https://doi.org/10.2514/3.20932.
Tucker, B., C. A. Ronald, and M. Senior. 1998. “Behavior-based formation control for multirobot teams.” IEEE Trans. Rob. Autom. 14 (6): 926–939. https://doi.org/10.1109/70.736776.
Wang, R., X. Dong, Q. Li, and Z. Ren. 2016. “Distributed adaptive formation control for linear swarm systems with time-varying formation and switching topologies.” IEEE Access 4 (Jun): 8995–9004. https://doi.org/10.1109/ACCESS.2016.2646399.
Xiang, X., C. Liu, H. Su, and Q. Zhang. 2017. “On decentralized adaptive full-order sliding mode control of multiple UAVs.” ISA Trans. 71 (Nov): 196–205. https://doi.org/10.1016/j.isatra.2017.09.008.
Yu, D., J. Long, C. L. Philip Chen, and Z. Wang. 2022a. “Bionic tracking-containment control based on smooth transition in communication.” Inf. Sci. 587 (Mar): 393–407. https://doi.org/10.1016/j.ins.2021.12.060.
Yu, D., H. Xu, X. Jin, Q. Yin, Z. Wang, C. L. P. Chen, and X. Li. 2022b. “Bionic swarm control based on second-order communication topology.” IEEE Trans. Neural Networks Learn. Syst. 1–13. https://doi.org/10.1109/TNNLS.2022.3227292.
Yu, Z., Y. Zhang, B. Jiang, C.-Y. Su, J. Fu, Y. Jin, and T. Chai. 2020. “Decentralized fractional-order backstepping fault-tolerant control of multi-UAVs against actuator faults and wind effects.” Aerosp. Sci. Technol. 104 (Jun): 1–18. https://doi.org/10.1016/j.ast.2020.105939.
Zhang, L., Y. Lu, S. Xu, and H. Feng. 2018. “Multiple UAVs cooperative formation forming control based on back-stepping-like approach.” J. Syst. Eng. Electron. 29 (4): 816–822. https://doi.org/10.21629/JSEE.2018.04.16.
Zhao, J., J. Sun, Z. Cai, Y. Wang, and K. Wu. 2022. “Distributed coordinated control scheme of UAV swarm based on heterogeneous roles.” Chin. J. Aeronaut. 35 (1): 81–97. https://doi.org/10.1016/j.cja.2021.01.014.
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Published In
Journal of Aerospace Engineering
Volume 37 • Issue 1 • January 2024
Copyright
© 2023 American Society of Civil Engineers.
History
Received: Dec 16, 2022
Accepted: Jun 27, 2023
Published online: Oct 9, 2023
Published in print: Jan 1, 2024
Discussion open until: Mar 9, 2024
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