航空学报 > 2026, Vol. 47 Issue (9): 532491-532491   doi: 10.7527/S1000-6893.2025.32491

先进飞行器安全控制技术专刊

基于强迫振荡的战斗机有限时间深失速改出控制

李钊星1, 杨林2, 王霞3, 许斌1()   

  1. 1.西北工业大学 自动化学院,西安 710072
    2.航空工业 成都飞机设计研究所,成都 610041
    3.山东大学 控制科学与工程学院,济南 250061
  • 收稿日期:2025-06-28 修回日期:2025-07-21 接受日期:2025-12-15 出版日期:2026-05-15 发布日期:2025-12-23
  • 通讯作者: 许斌 E-mail:smileface.binxu@gmail.com
  • 基金资助:
    深圳市科技计划(JCYJ20230807145500002);国家自然科学基金(62403283);中国博士后科学基金(2025T180481);西北工业大学博士论文创新基金(CX2024071)

Finite-time deep stall recovery control for fighter aircraft using forced oscillation

Zhaoxing LI1, Lin YANG2, Xia WANG3, Bin XU1()   

  1. 1.School of Automation,Northwestern Polytechnical University,Xi’an 710072,China
    2.AVIC Chendu Aircraft Design Research Institute,Chendu 610041,China
    3.School of Control Science and Engineering,Shandong University,Jinan 250061,China
  • Received:2025-06-28 Revised:2025-07-21 Accepted:2025-12-15 Online:2026-05-15 Published:2025-12-23
  • Contact: Bin XU E-mail:smileface.binxu@gmail.com
  • Supported by:
    Science, Technology and Innovation Commission of Shenzhen Municipality(JCYJ20230807145500002);National Natural Science Foundation of China(62403283);China Postdoctoral Science Foundation(2025T180481);Innovation Foundation of the University for Graduate Students in Northwestern Polytechnical University(CX2024071)

摘要:

考虑战斗机深失速状态的快速稳定改出问题,提出一种基于强迫振荡的有限时间深失速改出控制方法。针对深失速状态动力学特性表征需求,采用分岔理论进行分析并通过反向时间积分求解深失速吸引域;为从机理上给出准确的深失速恢复指令,基于扩展分岔分析在控制器设计中引入不稳定分岔对应的强迫振荡偏摆响应;针对深失速状态下的时变扰动和气动参数摄动影响,设计扰动观测器估计干扰项并借助神经网络处理模型不确定性,结合迎角跟踪误差反馈得到深失速改出控制器;基于李雅普诺夫稳定性分析证明动力学与控制器结合的整体系统在有限时间内的收敛情况。结果表明:深失速中的战斗机能够降低迎角至安全区域并保持稳定可控,实现快速平稳的深失速状态恢复。

关键词: 深失速, 分岔理论, 强迫振荡, 扰动观测器, 有限时间, 飞行控制

Abstract:

To address the problem of rapid and stable recovery from deep stall in fighter aircraft, a finite-time control method based on forced oscillation is proposed. To characterize the dynamics of deep stall state, bifurcation theory is employed for analysis, and the region of attraction boundaries is determined through backward-time integration. To generate precise recovery commands from mechanistic perspective, an extended bifurcation analysis is conducted, and forced oscillation commands corresponding to unstable bifurcation points are incorporated into the controller design. To handle time-varying disturbances and aerodynamic parameter perturbations during deep stall, a disturbance observer is designed to estimate lumped uncertainties while neural networks compensate for model uncertainties, and the deep stall recovery controller is obtained by combining with angle of attack tracking error feedback. The system signals involved in the Lyapunov function are proved to be bounded and the sliding mode surface converges in finite time. Simulation results show that the proposed method can reduce the fighter aircraft’s angle of attack to a safe zone while maintaining stable controllability, and achieve rapid and smooth recovery from deep stall conditions.

Key words: deep stall, bifurcation theory, forced oscillation, disturbance observer, finite-time, flight control

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