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基于低通非奇异终端滑模引导的舰载机抗侧风着舰控制技术
引用本文:崔凯凯,韩维,张勇,张凯伦,刘洁. 基于低通非奇异终端滑模引导的舰载机抗侧风着舰控制技术[J]. 控制与决策, 2022, 37(9): 2255-2264
作者姓名:崔凯凯  韩维  张勇  张凯伦  刘洁
作者单位:海军航空大学航空基础学院,山东烟台264001;军事科学院战争研究院,北京100850
摘    要:针对舰载机的抗侧风着舰控制问题,设计一种低通非奇异终端滑模引导算法(LNTSMC)用于提高舰载机的抗侧风引导能力. 首先, 基于 H混合灵敏度控制设计内环姿态鲁棒控制系统, 并推导舰载机着舰飞行时的侧向引导方程;然后,基于齐次性理论设计一种积分非奇异终端滑模面,使其在满足低通滑模控制器设计要求的同时避免控制奇异现象;进一步,设计一种带边界层的幂指数趋近律来抑制滑模控制中的抖振情况,并引入非齐次干扰观测器来改善边界层内部的鲁棒稳定性; 最后, 通过 Lyapunov 定理证明所设计算法的有限时间稳定性, 并给出仿真结果. 仿真结果表明,所设计的引导算法具有良好的抗侧风性能,通过与已有算法进行对比,验证了所提出算法的优越性.

关 键 词:舰载机  抗侧风着舰  鲁棒控制  终端滑模控制  非齐次干扰观测器  H∞混合灵敏度控制

Anti crosswind carrier landing control technology based on low pass nonsingular terminal sliding mode guidance
CUI Kai-kai,HAN Wei,ZHANG Yong,ZHANG Kai-lun,LIU Jie. Anti crosswind carrier landing control technology based on low pass nonsingular terminal sliding mode guidance[J]. Control and Decision, 2022, 37(9): 2255-2264
Authors:CUI Kai-kai  HAN Wei  ZHANG Yong  ZHANG Kai-lun  LIU Jie
Affiliation:School of Basic Sciences for Aviation,Naval Aviation University,Yantai 264001,China; War Research Institute,Academy of Military Sciences,Beijing 100850,China
Abstract:Aiming at the problem of anti crosswind landing control of carrier based aircraft, a low pass nonsingular terminal sliding mode control (LNTSMC) algorithm is designed to improve the anti crosswind guidance ability of the carrier based aircraft. Firstly, based on $H_infty$ mixed sensitivity control, the inner loop attitude robust control system is designed, and the lateral carrier landing guidance equation is derived. Then, an integral nonsingular terminal sliding mode surface is designed based on the homogeneous theory, which can meet the design requirements of the low pass sliding mode controller and avoid the control singularity phenomenon. A power exponential reaching law with a boundary layer is proposed to suppress the chattering in sliding mode control, and a non-homogeneous disturbance observer is introduced to improve the robust stability inside the boundary layer. Finally, the finite time stability of the algorithm is proved using the Lyapunov theorem, and the simulation analysis is given. The simulation results show that the guidance algorithm designed in this paper has good anti crosswind performance, and the superiority of the algorithm is verified by comparing with the existing algorithms.
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