A Novel Strategy for Hypersonic Vehicle With Complex Distributed No-Fly Zone Constraints
Tao Zhengxin
College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China nudt.edu.cn
Hunan Provincial Key Laboratory of Aerospace Cross-Domain Flight Vehicle System and Control Technology, Department of Science and Technology of Hunan Province, Changsha 410073, China
Search for more papers by this authorCorresponding Author
Zhang Shifeng
College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China nudt.edu.cn
Hunan Provincial Key Laboratory of Aerospace Cross-Domain Flight Vehicle System and Control Technology, Department of Science and Technology of Hunan Province, Changsha 410073, China
Search for more papers by this authorTao Zhengxin
College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China nudt.edu.cn
Hunan Provincial Key Laboratory of Aerospace Cross-Domain Flight Vehicle System and Control Technology, Department of Science and Technology of Hunan Province, Changsha 410073, China
Search for more papers by this authorCorresponding Author
Zhang Shifeng
College of Aerospace Science and Engineering, National University of Defense Technology, Changsha 410073, China nudt.edu.cn
Hunan Provincial Key Laboratory of Aerospace Cross-Domain Flight Vehicle System and Control Technology, Department of Science and Technology of Hunan Province, Changsha 410073, China
Search for more papers by this authorAbstract
Aiming at solving trajectory planning problem with complex distributed no-fly zone constraints, this paper proposed a novel obstacle avoidance strategy. For longitudinal motion, an angle of attack adjustment method is employed to adjust lift and design the angle of attack profile, while adjusting the bank angle for range and altitude correction to meet terminal constraints. For lateral motion, this paper developed enhanced attractive, repulsive, and velocity potential fields. Combined with the proposed repulsive force reconstruction method, this effectively resolves the overmaneuvering problem of traditional artificial potential field methods (APFMs) for vehicle. In order to avoid mismatched magnitudes of attractive and repulsive forces, a complementary no-fly zone avoidance strategy based on minimum turn radius is introduced, updating the bank angle command during no-fly zone avoidance. Simulation results indicate that the proposed strategy can address the avoidance of sudden threat, proving to be feasible and effective for handling complex distributed no-fly zone avoidance problems.
Conflicts of Interest
The authors declare no conflicts of interest.
Open Research
Data Availability Statement
Utilized data are cited in paper’s references which also describe utilized algorithms.
References
- 1 Niu Q., Yuan Z., Chen B., and Dong S., Infrared radiation characteristics of a hypersonic vehicle under time-varying angles of attack, Chinese Journal of Aeronautics. (2019) 32, no. 4, 861–874, https://doi.org/10.1016/j.cja.2019.01.003, 2-s2.0-85062224930.
- 2 Bao C., Zhou X., Wang P., He R., and Tang G., A deep reinforcement learning-based approach to onboard trajectory generation for hypersonic vehicles, Aeronautical Journal. (2023) 127, no. 1315, 1638–1658, https://doi.org/10.1017/aer.2023.4.
- 3
Zhang M.,
Chen Z.,
Wang S.,
Chao T., and
Yang M., Reentry Trajectory Planning and Tracking Law of Hypersonic Glide Vehicle under the Influence of Environmental Uncertainty, 2023, Springer Nature Singapore, Singapore, https://doi.org/10.1007/978-981-19-6613-2_436.
10.1007/978-981-19-6613-2_436 Google Scholar
- 4 Mu L., Wang X., Xie R., Zhang Y., Li B., and Wang J., A survey of the hypersonic flight vehicle and its guidance and control technology, Journal of Harbin Institute of Technology. (2019) 51, no. 3, 1–14.
- 5 Li Z., Yang X., Sun X., Liu G., and Hu C., Improved artificial potential field based lateral entry guidance for waypoints passage and no-fly zones avoidance, Aerospace Science and Technology. (2019) 86, 119–131, https://doi.org/10.1016/j.ast.2019.01.015, 2-s2.0-85060089952.
- 6 Liang Z., Long J., Zhu S., and Xu R., Entry guidance with terminal approach angle constraint, Aerospace Science and Technology. (2020) 102, article 105876, https://doi.org/10.1016/j.ast.2020.105876.
- 7 Jorris T. R. and Cobb R. G., Three-dimensional trajectory optimization satisfying waypoint and no-fly zone constraints, Journal of Guidance, Control, and Dynamics. (2009) 32, no. 2, 551–572, https://doi.org/10.2514/1.37030, 2-s2.0-66049138534.
- 8 Yu W., Chen W., Jiang Z., Liu M., Yang D., Yang M., and Ge Y., Analytical entry guidance for no-fly-zone avoidance, Aerospace Science and Technology. (2018) 72, 426–442, https://doi.org/10.1016/j.ast.2017.11.029, 2-s2.0-85034842123.
- 9
Liu Z.,
Zhou J.,
Guo Z.,
Guo J., and
Wang G., Radau Pseudospectral Method-Based Cooperative Re-Entry Trajectory Optimization for Hypersonic Reentry Vehicle, 2023, Springer Nature Singapore, Singapore, https://doi.org/10.1007/978-981-19-6613-2_26.
10.1007/978-981-19-6613-2_26 Google Scholar
- 10 Wang J., Cui N., and Wei C., Rapid trajectory optimization for hypersonic entry using convex optimization and pseudospectral method, Aircraft Engineering & Aerospace Technology. (2019) 91, no. 4, 669–679, https://doi.org/10.1108/AEAT-06-2018-0159, 2-s2.0-85065222765.
- 11 Fu W., Wang B., Li X., Liu L., and Wang Y., Ascent trajectory optimization for hypersonic vehicle based on improved chicken swarm optimization, IEEE Access. (2019) 7, 151836–151850, https://doi.org/10.1109/ACCESS.2019.2947297.
- 12
Mao Y.,
Zhang D., and
Wang L., Reentry trajectory optimization for hypersonic vehicle based on improved Gauss pseudospectral method, Soft Computing - A Fusion of Foundations, Methodologies & Applications. (2017) 21, no. 16, 4583–4592, https://doi.org/10.1007/s00500-016-2201-3, 2-s2.0-84976631353.
10.1007/s00500?016?2201?3 Google Scholar
- 13 Pei P., Fan S., Wang W., and Lin D., Online reentry trajectory optimization using modified sequential convex programming for hypersonic vehicle, IEEE Access. (2021) 9, 23511–23525, https://doi.org/10.1109/ACCESS.2021.3056517.
- 14 Zhang H., Wang H., Li N., Yu Y., Su Z., and Liu Y., Time-optimal memetic whale optimization algorithm for hypersonic vehicle reentry trajectory optimization with no-fly zones, Neural Computing and Applications. (2020) 32, no. 7, 2735–2749, https://doi.org/10.1007/s00521-018-3764-y, 2-s2.0-85055026299.
- 15 Zhang Y., Zhang R., and Li H., Graph-based path decision modeling for hypersonic vehicles with no-fly zone constraints, Aerospace Science and Technology. (2021) 116, article 106857, https://doi.org/10.1016/j.ast.2021.106857.
- 16 Zhang Y., Zhang R., and Li H., Online path decision of no-fly zones avoidance for hypersonic vehicles based on a graph attention network, IEEE Transactions on Aerospace and Electronic Systems. (2023) 59, no. 5, 5554–5567, https://doi.org/10.1109/TAES.2023.3260071.
- 17
Chen Z.,
Wang H.,
Quan S., and
Chao T., Guidance algorithm for reentry vehicle considering target maneuvering and no-fly zone constraints, 2021 40th Chinese Control Conference (CCC), 2021, Shanghai, China, https://doi.org/10.23919/CCC52363.2021.9550242.
10.23919/CCC52363.2021.9550242 Google Scholar
- 18
Tian R.,
Zhang Q.,
Cui L., and
Yu Y., Avoidance of no-fly zone for hypersonic vehicle based on adaptice radau pseudospectral method, 2022 7th International Conference on Intelligent Computing and Signal Processing (ICSP), 2022, Xi′an, China, https://doi.org/10.1109/ICSP54964.2022.9778519.
10.1109/ICSP54964.2022.9778519 Google Scholar
- 19 Ji Y., Ni L., Zhao C., Lei C., and Du Y., TriPField: a 3D potential field model and its applications to local path planning of autonomous vehicles, IEEE Transactions on Intelligent Transportation Systems. (2023) 24, no. 3, 3541–3554, https://doi.org/10.1109/TITS.2022.3231259.
- 20 Sun S., Guo H., Wan G., Dong C., Zheng C., and Wang Y., Coupled temporal variation information estimation and resolution enhancement for remote sensing spatial–temporal–spectral fusion, IEEE Transactions on Geoscience and Remote Sensing. (2023) 61, 1–18, https://doi.org/10.1109/TGRS.2023.3335418.
- 21
Srivastava A.,
Vasudevan V. R.,
Harikesh R. N., and
Sujit P. B., A modified artificial potential field for UAV collision avoidance, 2023 International Conference on Unmanned Aircraft Systems (ICUAS), 2023, Warsaw, Poland, https://doi.org/10.1109/ICUAS57906.2023.10156492.
10.1109/ICUAS57906.2023.10156492 Google Scholar
- 22 Zhuang M., Li G., and Ding K., Obstacle avoidance path planning for apple picking robotic arm incorporating artificial potential field and a* algorithm, IEEE Access. (2023) 11, 100070–100082, https://doi.org/10.1109/ACCESS.2023.3312763.
- 23 Ren J., McIsaac K. A., Patel R. V., and Peters T. M., A potential field model using generalized sigmoid functions, IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics). (2007) 37, no. 2, 477–484, https://doi.org/10.1109/TSMCB.2006.883866, 2-s2.0-34047181491.
- 24 Li M., Zhou C., Shao L., Lei H., and Luo C., An improved predictor-corrector guidance algorithm for reentry glide vehicle based on intelligent flight range prediction and adaptive crossrange corridor, International Journal of Aerospace Engineering. (2022) 2022, 18, https://doi.org/10.1155/2022/7313586, 7313586.
- 25 Hu Y., Gao C., Li J., Jing W., and Chen W., A novel adaptive lateral reentry guidance algorithm with complex distributed no-fly zones constraints, Chinese Journal of Aeronautics. (2022) 35, no. 7, 128–143, https://doi.org/10.1016/j.cja.2021.06.016.
- 26
Hu J.,
Sun W.,
Zhang M.,
Chao T., and
Yang M., Guidance method for re-entry glide vehicle considering no-fly zone avoidance, 2023 42nd Chinese Control Conference (CCC), 2023, Tianjin, China, https://doi.org/10.23919/CCC58697.2023.10240299.
10.23919/CCC58697.2023.10240299 Google Scholar
- 27 Wang Z., Tang S., and Guo J., Entry guidance command generation for hypersonic glide vehicles under threats and multiple constraints, IEEE Access. (2022) 10, 1–15, https://doi.org/10.1109/ACCESS.2021.3137641.
- 28
Richie G., The common aero vehicle - space delivery system of the future, Space Technology Conference and Exposition, 1999, Albuquerque,NM,U.S.A., https://doi.org/10.2514/6.1999-4435.
10.2514/6.1999?4435 Google Scholar
- 29
Walker S. and
Rodgers F., Falcon hypersonic technology overview, AIAA/CIRA 13th International Space Planes and Hypersonics Systems and Technologies Conference, 2005, Capua, Italy, https://doi.org/10.2514/6.2005-3253.
10.2514/6.2005?3253 Google Scholar
- 30 Gao Y., Cai G., Yang X., and Hou M., Improved tentacle-based guidance for reentry gliding hypersonic vehicle with no-fly zone constraint, IEEE Access. (2019) 7, 119246–119258, https://doi.org/10.1109/ACCESS.2019.2936974.
- 31 Xu H., Cai G., and Zhang S., Modified aerodynamic coefficient fitting models of hypersonic gliding vehicle in reentry phase, Journal of Astronautic. (2021) 42, no. 9, 1139–1149.
- 32
Ren Y.,
Yang J., and
Xiong W., Hybrid guidance for common aero vehicle equilibrium glide reentry with multi-constraints, 2019 IEEE International Conference on Unmanned Systems and Artificial Intelligence (ICUSAI), 2019, Xi′an, China, https://doi.org/10.1109/ICUSAI47366.2019.9124790.
10.1109/ICUSAI47366.2019.9124790 Google Scholar
- 33 Pallottino L., Feron E. M., and Bicchi A., Conflict resolution problems for air traffic management systems solved with mixed integer programming, IEEE Transactions on Intelligent Transportation Systems. (2002) 3, no. 1, 3–11, https://doi.org/10.1109/6979.994791, 2-s2.0-0345276183.
- 34 Lu P. and Xue S., Rapid generation of accurate entry landing footprints, Journal of Guidance, Control, and Dynamics. (2010) 33, no. 3, 756–767, https://doi.org/10.2514/1.46833, 2-s2.0-77953784587.
- 35 Zhang Y., Zhang R., and Li H., Dual-level path-trajectory generation with complex no-fly zone constraints for hypersonic vehicle, Journal of Astronautics. (2022) 43, no. 5, 615–627.
