自动化学报2025，Vol.51Issue(6)：1233-1247,15.DOI:10.16383/j.aas.c240766
基于预定义时间的舰载机抗干扰着舰控制
Predefined-Time Anti Interference Landing Control for Carrier-Based Aircraft
摘要
Abstract
Considering the landing trajectory tracking of carrier-based aircraft under the influence of deck motion and ship wake,an adaptive robust control strategy based on predefined-time is proposed.The subsystems for ship trajectory generation,guidance,control,and approach power compensation are established,transforming the tra-jectory tracking problem into a stability problem for these subsystems.To address the influence of time-varying dis-turbances caused by ship wake and deck motion on the ideal landing point,a long short-term memory neural net-work is utilized for deck motion estimation and correct it in the guiding commands,and a nonlinear disturbance ob-server is designed to estimate unknown disturbances so that the feedforward compensation is performed on the ag-gregate external disturbance of the model set.To enhance the accuracy and speed of landing trajectory tracking and attitude control,a predefined-time control strategy based on backstepping architecture has been developed.Lyapun-ov stability analysis demonstrates that the system can converge within the set time.The numerical and hardware-in-loop simulation results indicate that the control strategy designed to account for deck motion and ship wake dis-turbances can meet the requirements for fast and accurate tracking of landing trajectories while achieving pre-defined-time stability.关键词
着舰控制/舰尾流/甲板运动/长短期记忆神经网络/预定义时间控制Key words
Landing control/ship wake/deck motion/long short-term memory neural network/predefined-time control引用本文复制引用
李钊星,蔡云鹏,刘茂汉,王霞,许斌..基于预定义时间的舰载机抗干扰着舰控制[J].自动化学报,2025,51(6):1233-1247,15.基金项目
陕西省自然科学基础研究计划(2023JC-XJ-08),深圳市科技计划(JCYJ20230807145500002),西北工业大学博士论文创新基金(CX2024071)资助Supported by Natural Science Basic Research Plan of Shannxi Province(2023JC-XJ-08),Science and Technology Plan of Shen-zhen Municipality(JCYJ20230807145500002),and Innovation Foundation for Doctor Dissertation of Northwestern Polytechnic-al University(CX2024071) （2023JC-XJ-08）
