Abstract
This paper is concerned with the distributed finite-time formation strategy for fixed-wing unmanned aerial vehicles subject to uncertainties, disturbances and actuator faults. A finite-time control scheme based upon command filtered backstepping is proposed and an error compensation system is constructed to attenuate influences caused by filtering errors. Radial basis function neural network is exploited to approximate uncertainties. Furthermore, to solve the adverse effects due to actuator faults, the adaptive law is utilized to estimate partial loss of effectiveness. In addition, a Lyapunov-based stability is analyzed to demonstrate that tracking errors are finite-time convergent. Ultimately, simulation results are given to validate that our proposed strategy can achieve excellent performance.
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Acknowledgements
This work was supported by the National Natural Science Foundation of China under Grants 62173180 and 62020106003, Outstanding Youth Foundation of Jiangsu Province of China under Grant BK20200015, Qing Lan Project of Jiangsu Province of China, the Fundamental Research Funds for the Central Universities under Grants NE2022002 and NC2022003, Postgraduate Research and Practice Innovation Program of Jiangsu Province of China under Grant KYCX22_0368.
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Fang, F., Zhang, K., Cheng, W., Jiang, B. (2023). Distributed Finite-Time Fault-Tolerant Control Based on Command Filtered Backstepping for Multiple Fixed-Wing Unmanned Aerial Vehicles. In: Yan, L., Duan, H., Deng, Y. (eds) Advances in Guidance, Navigation and Control. ICGNC 2022. Lecture Notes in Electrical Engineering, vol 845. Springer, Singapore. https://doi.org/10.1007/978-981-19-6613-2_140
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DOI: https://doi.org/10.1007/978-981-19-6613-2_140
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