[1]XIANG Hongcheng,DENG Yimin,DUAN Haibin.Integrated control of hypersonic aerial vehicle and engine system based on exploring swarm strategy based pigeon inspired optimization[J].CAAI Transactions on Intelligent Systems,2022,17(4):849-855.[doi:10.11992/tis.202205033]
Copy
Integrated control of hypersonic aerial vehicle and engine system based on exploring swarm strategy based pigeon inspired optimization
CAAI Transactions on Intelligent Systems[ISSN 1673-4785/CN 23-1538/TP] Volume:
17
Number of periods:
2022 4
Page number:
849-855
Column:
吴文俊人工智能科学技术奖论坛
Public date:
2022-07-05
- Title:
- Integrated control of hypersonic aerial vehicle and engine system based on exploring swarm strategy based pigeon inspired optimization
- Keywords:
- hypersonic aerial vehicle; integrated control of vehicle and engine; pigeon inspired optimization; exploring swarm; altitude control; velocity control; parameter setting; integral time-weighted absolute error
- CLC:
- TP273
- DOI:
- 10.11992/tis.202205033
- Abstract:
- There are strong coupling characteristics between hypersonic aerial vehicle and engine in the integrated system, such as air flow integration and structure integration, which brings too much challenges to the design of control system. Aiming at the challenge of the design of hypersonic aerial vehicle control system, an integrated flight/launch system model of hypersonic vehicle is established and corresponding longitudinal control law is also designed for this system. An exploring swarm strategy based pigeon inspired optimization algorithm is proposed to overcome the difficulties in debugging the parameters integrated control system. Finally, the control parameters are optimized by the exploring swarm strategy based pigeon inspired optimization algorithm, which is compared with the basic pigeon inspired optimization and particle swarm optimization, verifying the feasibility and superiority of the proposed exploring swarm strategy based pigeon inspired optimization algorithm.
- References:
-
[1] DING Yibo, WANG Xiaogang, BAI Yuliang, et al. An improved continuous sliding mode controller for flexible air-breathing hypersonic vehicle[J]. International journal of robust and nonlinear control, 2020, 30(14): 5751–5772.
[2] WANG Le, QI Ruiyun, JIANG Bin. Adaptive actuator fault-tolerant control for non-minimum phase air-breathing hypersonic vehicle model[J]. ISA transactions, 2022, 126: 47–64.
[3] 王曉鶴. 高超声速武器改变世界军事力量格局[J]. 航空动力, 2022(2): 17–20
[4] 王冠, 尹童, 曹颖. 国外高超声速武器攻防发展态势研究[J]. 现代防御技术, 2022, 50(2): 26–32
WANG Guan, YIN Tong, CAO Ying. Research on the development of foreign hypersonic offensive and defensive weapons[J]. Modern defence technology, 2022, 50(2): 26–32
[5] 李宏新, 谢业平. 从航空发动机视角看飞/发一体化问题[J]. 航空发动机, 2019, 45(6): 1–8
LI Hongxin, XIE Yeping. Fundamental issues of aircraft/engine integration from the perspective of aeroengine[J]. Aeroengine, 2019, 45(6): 1–8
[6] 季春生. 飞发一体化控制先进技术发展分析[J]. 航空动力, 2019(4): 32–38
JI Chunsheng. Analysis to the development of advanced technology for integrated flight-propulsion control[J]. Aerospace power, 2019(4): 32–38
[7] 李俊, 杨水锋, 但聃. 未来飞机对飞发一体化技术的需求[J]. 航空动力, 2018(2): 63–66
LI Jun, YANG Shuifeng, DAN Dan. Integrated aircraft/engine technology required by future aircraft[J]. Aerospace power, 2018(2): 63–66
[8] VEERAN S, PESYRIDIS A, GANIPPA L. Ramjet compression system for a hypersonic air transportation vehicle combined cycle engine[J]. Energies, 2018, 11(10): 2558.
[9] CHENG Kunlin, QIN Jiang, SUN Hongchuang, et al. Performance assessment of a closed-recuperative-Brayton-cycle based integrated system for power generation and engine cooling of hypersonic vehicle[J]. Aerospace science and technology, 2019, 87: 278–288.
[10] YAO Zhiheng, BAO Wen, CHANG Juntao, et al. Modelling for couplings of an airframe—propulsion integrated hypersonic vehicle with engine safety boundaries[J]. Proceedings of the institution of mechanical engineers, part G:journal of aerospace engineering, 2010, 224(1): 43–55.
[11] 冯云山, 杨照华. 模糊自适应的高超飞行器控制与干扰[J]. 智能系统学报, 2012, 7(2): 129–134
FENG Yunshan, YANG Zhaohua. Control and disturbance analysis of hypersonic vehicles based on fuzzy adaptive[J]. CAAI transactions on intelligent systems, 2012, 7(2): 129–134
[12] 林鹏, 左林玄, 王霄, 等. 未来作战飞机飞发一体化技术的思考[J]. 航空动力, 2018(2): 52–57
LIN Peng, ZUO Linxuan, WANG Xiao, et al. Discussion on aircraft/engine integration technology of future combat aircraft[J]. Aerospace power, 2018(2): 52–57
[13] DUAN Haibin, QIU Huaxin. Advancements in pigeon-inspired optimization and its variants[J]. Science China information sciences, 2019, 62(7): 1–10.
[14] DUAN Haibin, QIAO Peixin. Pigeon-inspired optimization: a new swarm intelligence optimizer for air robot path planning[J]. International journal of intelligent computing and cybernetics, 2014, 7(1): 24–37.
[15] SUN Xiaoxue, PAN J S, CHU Shuchuan, et al. A novel pigeon-inspired optimization with QUasi-Affine TRansformation evolutionary algorithm for DV-Hop in wireless sensor networks[J]. International journal of distributed sensor networks, 2020, 16(6): 1–15.
[16] TIAN Aiqing, CHU Shuchuan, PAN J S, et al. A compact pigeon-inspired optimization for maximum short-term generation mode in cascade hydroelectric power station[J]. Sustainability, 2020, 12(3): 767.
[17] WANG Bohang, WANG Daobo, ALI Z A. A Cauchy mutant pigeon-inspired optimization–based multi-unmanned aerial vehicle path planning method[J]. Measurement and control, 2020, 53(1/2): 83–92.
[18] YE Linqi, ZONG Qun, ZHANG Xiuyun. Adaptive control for a non-minimum phase hypersonic vehicle model[C]//2015 34th Chinese Control Conference. Hangzhou: IEEE, 2015: 991-996.
[19] LUCASBPRO Lucas Braga, Aircraft engine modeling[EB/OL]. (2020?07?16)[2022?05?20]. https: //github. com/lucasbpro/aircraft-engine-modeling.
[20] RAO C S, SANTOSH S, V D R. Tuning optimal PID controllers for open loop unstable first order plus time delay systems by minimizing ITAE criterion[J]. IFAC-papers online, 2020, 53(1): 123–128.
- Similar References:
Memo
-
Last Update:
1900-01-01