A novel dynamic robust control allocation algorithm based on second-order cone programming for tandem-wing UAV

This paper proposes a novel dynamic robust control allocation algorithm based on second-order cone programming (SOCP) for tandem-wing UAV, with a focus on its application in reconnaissance-and-strike integrated missions characterized by high-dynamic, large-maneuver flight conditions. Leveraging the inherent flight control redundancy afforded by the aircraft’s unique aerodynamic configuration, the proposed method demonstrates enhanced robustness to uncertainties in the control efficiency matrix, in contrast to traditional methods such as the generalized inverse approach. The algorithm efficiently allocates control output of control rudders, minimizing deflection demands and ensuring stable control of the aircraft. The effectiveness of control allocation algorithms is rigorously validated through numerical simulations, confirming their superior performance and robustness in addressing the challenges of high-dynamic maneuvering flight.