Abstract: To address the critical challenges of strong coupling, model uncertainty, and actuator constraints in flight–propulsion matching for high-speed vehicles, an intelligent integrated control approach is investigated. First, to overcome the limited accuracy of flight–propulsion coupled modeling, a high-fidelity integrated flight–propulsion mechanistic model is developed. Through model error influence analysis, key uncertain parameters that significantly affect control performance are identified, and a data-assisted parameter correction mechanism is introduced to perform offline and online updates of critical parameters, thereby improving model accuracy and reliability over a wide operating envelope. Second, to alleviate the performance limitations of conventional purely model-based or purely data-driven methods under complex operating conditions, a model–data hybrid-driven intelligent integrated control framework for flight–propulsion systems is proposed. By synergistically exploiting the structural information of the corrected mechanistic model and the adaptive capability of a disturbance observer, adaptive performance optimization is achieved in the presence of model uncertainty and external disturbances, resulting in enhanced robustness and control accuracy of the coupled system. Furthermore, considering the amplitude and rate saturation constraints of key actuators such as engine fuel flow and elevator deflection, a robust feedback linearization control strategy incorporating anti-saturation compensation and disturbance suppression mechanisms is designed. The proposed strategy ensures closed-loop stability while effectively mitigating the adverse effects of actuator constraints on control performance. Simulation results based on a representative high-speed vehicle flight–propulsion coupled model demonstrate that the proposed approach significantly improves flight–propulsion matching performance and overall control effectiveness, thereby verifying its effectiveness and engineering application potential.

Key words: Hypersonic vehicles, flight–propulsion matching, model correction, flight–propulsion integration, intelligent control