Adaptive Attitude Control for Spinning Projectiles With Time-Varying Aerodynamic Uncertainties

IF 5.7 2区计算机科学 Q1 ENGINEERING, AEROSPACE IEEE Transactions on Aerospace and Electronic Systems Pub Date : 2025-02-13 DOI:10.1109/TAES.2025.3541607

Zhongjiao Shi;Zhijie Liu;Feng Han;Xinchun Wang

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Abstract

Most gun-launched guided projectiles adopt a spinning airframe to simplify the control structure and improve stability. However, the cross-coupling effects of inertia, aerodynamics, and control caused by spinning increase the difficulty of the autopilot design. This article proposes an adaptive attitude autopilot design method for a class of spinning projectiles with time-varying aerodynamic uncertainties. First, a fully actuated attitude dynamic model of the pitch/yaw channel for a spinning projectile is established, in which the aerodynamic force/moment are regarded as time-varying uncertainties. Second, an adaptive attitude autopilot is proposed by combining fully actuated system theory and adaptive control theory to restore the linear characteristics of the closed-loop system. Then, a parameter-safe adaptive law is presented using control barrier functions to ensure the boundedness of estimation parameters and improve the robustness of the closed-loop system. Finally, comparative numerical simulations are performed to demonstrate that the proposed attitude control method can guarantee the boundedness of both the tracking error and estimation error.

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时变气动不确定性旋转弹丸的自适应姿态控制

大多数炮射制导弹采用旋转机身，以简化控制结构，提高稳定性。然而，旋转引起的惯性、空气动力学和控制的交叉耦合效应增加了自动驾驶仪设计的难度。针对一类具有时变气动不确定性的自旋弹，提出了一种自适应姿态自动驾驶仪的设计方法。首先，建立了自旋弹丸俯仰/偏航通道的全驱动姿态动力学模型，该模型将气动力/力矩视为时变不确定性。其次，结合全驱动系统理论和自适应控制理论，提出一种自适应姿态自动驾驶仪，恢复闭环系统的线性特性；然后，利用控制障碍函数提出了参数安全自适应律，保证了估计参数的有界性，提高了闭环系统的鲁棒性。最后，通过数值仿真验证了所提出的姿态控制方法能够保证跟踪误差和估计误差的有界性。

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来源期刊

IEEE Transactions on Aerospace and Electronic Systems 工程技术-电信学

CiteScore

7.80

自引率

13.60%

发文量

433

审稿时长

8.7 months

期刊介绍： IEEE Transactions on Aerospace and Electronic Systems focuses on the organization, design, development, integration, and operation of complex systems for space, air, ocean, or ground environment. These systems include, but are not limited to, navigation, avionics, spacecraft, aerospace power, radar, sonar, telemetry, defense, transportation, automated testing, and command and control.