TY - JOUR
T1 - Adaptive Attitude Control for Spinning Projectiles with Time-Varying Aerodynamic Uncertainties
AU - Shi, Zhongjiao
AU - Liu, Zhijie
AU - Han, Feng
AU - Wang, Xinchun
N1 - Publisher Copyright:
© 2025 IEEE.
PY - 2025
Y1 - 2025
N2 - 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 paper 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.
AB - 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 paper 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.
KW - adaptive control
KW - attitude autopilot
KW - control barrier function
KW - fully actuated system
KW - spinning projectile
KW - time-varying uncertainty
UR - http://www.scopus.com/inward/record.url?scp=85218173197&partnerID=8YFLogxK
U2 - 10.1109/TAES.2025.3541607
DO - 10.1109/TAES.2025.3541607
M3 - Article
AN - SCOPUS:85218173197
SN - 0018-9251
JO - IEEE Transactions on Aerospace and Electronic Systems
JF - IEEE Transactions on Aerospace and Electronic Systems
ER -