[1]吴启龙,朱齐丹.基于线性自抗扰控制的纵向舰载机直接升力全自动着舰控制[J].智能系统学报,2024,19(1):142-152.[doi:10.11992/tis.202304047]
WU Qilong,ZHU Qidan.Direct lift fully-automatic landing control of longitudinal carrier-based aircraft on basis of linear active disturbance rejection control[J].CAAI Transactions on Intelligent Systems,2024,19(1):142-152.[doi:10.11992/tis.202304047]
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WU Qilong,ZHU Qidan.Direct lift fully-automatic landing control of longitudinal carrier-based aircraft on basis of linear active disturbance rejection control[J].CAAI Transactions on Intelligent Systems,2024,19(1):142-152.[doi:10.11992/tis.202304047]
基于线性自抗扰控制的纵向舰载机直接升力全自动着舰控制
《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
19
期数:
2024年第1期
页码:
142-152
栏目:
学术论文—智能系统
出版日期:
2024-01-05
- Title:
- Direct lift fully-automatic landing control of longitudinal carrier-based aircraft on basis of linear active disturbance rejection control
- Keywords:
- stability analysis; direct lift control; radial basis function neural network; linear active disturbance rejection control; automatic carrier landing; attitude control; carrier air-wake; trajectory tracking
- 分类号:
- TP273
- 文献标志码:
- 2023-07-31
- 摘要:
- 舰载机的最终着舰过程受到强烈的舰尾流的干扰，为了抑制舰尾流扰动，本文提出一种基于径向基函数神经网络（radial basis functions neural network，RBFNN）结合线性自抗扰控制（liner active disturbance rejection control，LADRC）的创新设计方法，确保舰载机直接升力控制自动着舰系统的鲁棒性。LADRC将阵风扰动和系统不确定项作为总扰动，通过线性扩展状态观测器（liner extended state observer，LESO）对总扰动进行估计，并通过线性反馈控制律进行补偿，然后根据系统状态利用RBFNN在线调整LADRC控制器的参数，并构建Lyapunov函数以证明闭环系统的稳定性。舰载机跟踪理想下滑道的仿真结果表明，RBF-LADRC的抗干扰性、鲁棒性和跟踪精度均优于与之对比的控制方法。
- Abstract:
- The final landing process of an carrier-based aircraft is disturbed by strong carrier air-wake. In order to suppress the disturbance of carrier air-wake, an innovative design method based on radial basis functions neural network (RBFNN) combined with linear active disturbance rejection control (LADRC) is proposed to assure the robustness of direct lift automatic landing system of carrier-based aircraft. The LADRC takes the gust wind disturbance and internal uncertainty as the total disturbance, estimates the total disturbance by a linear extended state observer (LESO), and conducts compensation by a linear feedback control law, then the parameters of the LADRC controller are adjusted on line by using RBFNN according to the system state, Lyapunov functions are constructed to demonstrate the stability of the closed-loop system. Based on the simulation results of the carrier-based aircraft tracking the ideal slide path, it is shown that the anti-interference, robustness and tracking accuracy of RBF-LADRC are superior to other comparative control methods.
- 参考文献/References:
-
[1] PRICKETT A L, PARKES C J. Flight testing of the F/A-18E/F automatic carrier landing system[C]//2001 IEEE Aerospace Conference Proceedings (Cat. No. 01TH8542). Piscataway: IEEE, 2002: 2593?2612.
[2] LUO Fei, ZHANG Junhong, LYU Pengfei, et al. Carrier-based aircraft precision landing using direct lift control based on incremental nonlinear dynamic inversion[J]. IEEE access, 2022, 10: 55709–55725.
[3] DESALVO M, HEATHCOTE D, SMITH M J, et al. Direct lift control using distributed aerodynamic bleed[C]//Proceedings of the AIAA Scitech 2019 Forum. Reston, Virginia: AIAA, 2019: AIAA2019?0591.
[4] 吴文海, 汪节, 高丽, 等. MAGIC CARPET着舰技术分析[J]. 系统工程与电子技术, 2018, 40(9): 2079–2091
WU Wenhai, WANG Jie, GAO Li, et al. Analysis on MAGIC CARPET carrier landing technology[J]. Systems engineering and electronics, 2018, 40(9): 2079–2091
[5] LIANG Hongyu, LI Zhengyang, SU Xichao, et al. Direct lift control of aircraft based on adaptive fuzzy dynamic inverse[C]//Proceedings of the 2019 4th International Conference on Robotics, Control and Automation. New York: ACM, 2019: 60?64.
[6] ZHU Hongyuan, LIU Xiaoxiong, ZHANG Yuehang, et al. Design of carrier-based aircraft landing control law based on direct force[M]. Singapore: Springer, 2021: 1153?1163.
[7] SUBRAHMANYAM M B. H-infinity design of F/A-18A automatic carrier landing system[J]. Journal of guidance, control, and dynamics, 1994, 17(1): 187–191.
[8] URNES J M, HESS R K. Development of the F/A-18A automatic carrier landing system[J]. Journal of guidance, control, and dynamics, 1985, 8(3): 289–295.
[9] 孙笑云, 江驹, 甄子洋, 等. 舰载飞机自适应模糊直接力着舰控制[J]. 西北工业大学学报, 2021, 39(2): 359–366
SUN Xiaoyun, JIANG Ju, ZHEN Ziyang, et al. Adaptive fuzzy direct lift control of aircraft carrier-based landing[J]. Journal of Northwestern Polytechnical University, 2021, 39(2): 359–366
[10] JAISWAL R, SHASTRY A, SWARNKAR S, et al. Adaptive longitudinal control of UAVs with direct lift control[J]. IFAC-Papersonline, 2016, 49(1): 296–301.
[11] ZHUANG Huixuan, SUN Qinglin, CHEN Zengqiang, et al. Back-stepping active disturbance rejection control for attitude control of aircraft systems based on extended state observer[J]. International journal of control, automation and systems, 2021, 19(6): 2134–2149.
[12] ZUO Yuefei, ZHU Xiaoyong, QUAN Li, et al. Active disturbance rejection controller for speed control of electrical drives using phase-locking loop observer[J]. IEEE transactions on industrial electronics, 2019, 66(3): 1748–1759.
[13] WANG Fenfen, LIU Xubo, TIAN Haiming, et al. An improved auto-disturbance rejection control method for hypersonic vehicle control system[C]//2020 Chinese Control and Decision Conference . Piscataway: IEEE, 2020: 3410?3415.
[14] WEI Bai, FENG Pan, BO Yangxing, et al. Visual landing system of UAV based on ADRC[C]//2017 29th Chinese Control and Decision Conference . Piscataway: IEEE, 2017: 7509?7514.
[15] GAO Tongyue, WANG Dongdong, FEI Tao, et al. Attitude decoupling controller design of dual-ducted SUAV based on ADRC system[J]. Applied mechanics and materials, 2014, 536/537: 1143–1148.
[16] WANG Zhaoji, ZHAO Tong. Based on robust sliding mode and linear active disturbance rejection control for attitude of quadrotor load UAV[J]. Nonlinear dynamics, 2022, 108(4): 3485–3503.
[17] LIU Chunqiang, LUO Guangzhao, DUAN Xiaoli, et al. Adaptive LADRC-based disturbance rejection method for electromechanical servo system[J]. IEEE transactions on industry applications, 2020, 56(1): 876–889.
[18] YU Shiwei, LIU Lie, HAN Lianghua, et al. Research on ultra-high power laser curing based on RBF neural network[C]//2022 Global Conference on Robotics, Artificial Intelligence and Information Technology. Piscataway: IEEE, 2022: 290?293.
[19] YANG Hongjun, LIU Jinkun. An adaptive RBF neural network control method for a class of nonlinear systems[J]. IEEE/CAA journal of automatica sinica, 2018, 5(2): 457–462.
[20] HAN Honggui, LU Wei, HOU Ying, et al. An adaptive-PSO-based self-organizing RBF neural network[J]. IEEE transactions on neural networks and learning systems, 2018, 29(1): 104–117.
[21] WANG Yangang, WANG Weijun, QU Xiangju. Multi-body dynamic system simulation of carrier-based aircraft ski-jump takeoff[J]. Chinese journal of aeronautics, 2013, 26(1): 104–111.
[22] ZHANG Wen, ZHANG Zhi, ZHU Qidan, et al. Dynamics model of carrier-based aircraft landing gears landed on dynamic deck[J]. Chinese journal of aeronautics, 2009, 22(4): 371–379.
[23] ZHEN Ziyang, JIANG Shuoying, MA Kun. Automatic carrier landing control for unmanned aerial vehicles based on preview control and particle filtering[J]. Aerospace science and technology, 2018, 81: 99–107.
[24] XIA Guihua, DONG Ran, XU Jiangtao, et al. Linearized model of carrier-based aircraft dynamics in final-approach air condition[J]. Journal of aircraft, 2016, 53(1): 33–47.
[25] KAHN A, EDWARDS D. Navigation, guidance and control for the CICADA expendable micro air vehicle[C]//Proceedings of the AIAA Guidance, Navigation, and Control Conference. Reston: AIAA, 2012: AIAA2012?4536.
[26] FAST B, MIKLOSOVIC R, RADKE A. Active disturbance rejection control of a MEMS gyroscope[C]//2008 American Control Conference. Piscataway: IEEE, 2008: 3746?3750.
[27] LAN Zebu. Applications of BP, convolutional and RBF networks[C]//2021 2nd International Conference on Computing and Data Science . Piscataway: IEEE, 2021: 543?547.
[28] YANG Fangfang, GUO Chen, JIANG Yunbiao. RBF based integrated ADRC controller for a ship dynamic positioning system[M]. Singapore: Springer, 2017: 673?680.
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备注/Memo
收稿日期:2023-04-24。
基金项目:国家自然科学基金项目（52171299）.
作者简介:吴启龙，男，博士研究生，主要研究方向为舰载机全自动着舰系统设计、智能控制技术。E-mail：wuqilong@hrbeu.edu.cn;朱齐丹，教授，博士生导师，中国自动化学会应用委员会委员，国家绕月探测科学应用专家委员会专家，主要研究方向为机器人与智能控制、机器视觉检测技术、先进控制理论及应用和复杂系统分析与决策。主持国家自然科学基金项目、国家计划项目等近30 项。发表学术论文 200 余篇。E-mail：zhuqidan@hrbeu.edu.cn
通讯作者:朱齐丹. E-mail：zhuqidan@hrbeu.edu.cn
更新日期/Last Update:
1900-01-01