Research on computational guidance and fault-tolerant control methods for launch vehicles under power system failures

This paper investigates computational guidance and fault-tolerant control methods for launch vehicles under power system failures, aimed at enhancing the system’s autonomy and fault tolerance in complex environments and failure scenarios. Firstly, a convex optimization-based computational guidance method is proposed. This method dynamically adjusts the orbital terminal constraints to generate the optimal degraded orbit and flight trajectory based on the current state of the vehicle, thereby ensuring the feasibility of the rescue mission. Secondly, a neural network-based fault-tolerant control method is proposed. This method eliminates the impact of system uncertainties through real-time assessment of the system state and adaptive adjustment of control parameters, ensuring the attitude stability of the vehicle during autonomous rescue operations. The integration of computational guidance and fault-tolerant control not only enhances the flexibility of trajectory adjustments but also ensures the vehicle’s emergency response capabilities under extreme conditions. Finally, the effectiveness and superiority of the proposed computational guidance and fault-tolerant control methods are validated through simulations.