引用本文:王应洋,张鹏,郭庆,丛继平,苏茂宇.非仿射模型驱动的无尾飞行器轨迹跟踪控制[J].控制理论与应用,2026,43(5):961~978.[点击复制]
WANG Ying-yang,ZHANG Peng,GUO Qing,CONG Ji-ping,SU Mao-yu.Trajectory tracking control for tailless aerial vehicles driven by non-affine model[J].Control Theory & Applications,2026,43(5):961~978.[点击复制]
非仿射模型驱动的无尾飞行器轨迹跟踪控制
Trajectory tracking control for tailless aerial vehicles driven by non-affine model
摘要点击 375  全文点击 22  投稿时间:2024-09-07  修订日期:2026-01-04
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DOI编号  10.7641/CTA.2025.40490
  2026,43(5):961-978
中文关键词  无尾飞行器  轨迹跟踪  非仿射模型  滑模控制  非线性动态逆
英文关键词  tailless aircraft  trajectory tracking control  non-affine model  sliding model control  dynamic inversion
基金项目  国家自然科学基金项目(62103439), 无人飞行器技术全国重点实验室, 陕西省高校青年创新团队资助.
作者单位E-mail
王应洋 空军工程大学装备管理与无人机工程学院 wangyingyang@outlook.com 
张鹏* 空军工程大学装备管理与无人机工程学院 june_moon@qq.com 
郭庆 空军工程大学装备管理与无人机工程学院  
丛继平 中国人民解放军93525部队  
苏茂宇 中国人民解放军93057部队  
中文摘要
      无尾飞行器(TAV)是未来穿透性制空作战的重要力量. 目前, TAV研究尚处在气动设计与姿态控制阶段, 轨 迹跟踪控制研究较少. 本文针对具有模型参数与结构不确定性的TAV轨迹跟踪控制问题进行研究. 由于TAV气动特 性复杂, 航迹角微分方程具有很强的非仿射特性, 传统的伪仿射转换方法可能导致控制器失效. 为此, 本文从模型 建立、模型转换与控制器设计3方面入手设计适应性强的轨迹跟踪控制器. 首先, 针对平动与转动子系统分别建立 面向控制器设计的非仿射与仿射模型. 然后, 通过分析泰勒展式与不等式约束两种方式处理非仿射函数的利弊, 提 出一种模型伪仿射转换新方法, 保留模型非仿射特性的同时避免控制律失效. 针对平动子系统, 基于非仿射模型设 计滑模控制器; 针对转动子系统, 基于反推法设计非线性动态逆控制器. 最后, 在执行器幅值与带宽受限下, 设计考 虑矢量推力的复合控制分配方法. 所设计的控制器不仅能实现稳定的轨迹跟踪控制, 还具有很强的鲁棒性, 仿真结 果证明了控制器的有效性.
英文摘要
      Tailless aerial vehicle (TAV) is an important asset in future penetrating air combat. Currently, research on TAVs is still primarily focused on aerodynamic design and attitude control, with trajectory tracking control receiving less attention. This paper investigates the trajectory tracking control problem for TAVs with model parameter and structural uncertainties. Due to the complexity of TAV aerodynamic characteristics, the trajectory angular differential equations exhibit strong non-affine properties, and traditional pseudo-affine transformation methods may lead to controller failure. To address this, an adaptive trajectory tracking controller is designed from three aspects: model construction, model transformation, and controller design. Firstly, non-affine and affine models are established for the translational and rotational subsystems, respectively, for controller design. Then, by analyzing the advantages and disadvantages of Taylor expansion and inequality constraints in handling non-affine functions, a novel pseudo-affine transformation method is proposed. This method retains the model’s non-affine characteristics while avoiding control law failure. A sliding mode controller is designed based on the non-affine model for the translational subsystem. Additionally, a nonlinear dynamic inversion controller is designed using the backstepping method for the rotational subsystem. Finally, a composite control allocation method considering vectored thrust is developed under the constraints of actuator amplitude and bandwidth limitations. The designed controller not only achieves stable trajectory tracking control, but also demonstrates strong robustness. Simulation results verify the effectiveness of the proposed controller.