| Aero-engine performance seeking control(PSC) is one of the most important aspects of integrated flight/propulsion control. According to flying assignments, the integrated information of engine and plane is used by PSC to improve the engine and plane's comprehensive performance. The purpose of this thesis is to study the issue of performance seeking control systematically and penetratingly, considering the optimization realtime.This thesis comprises three main parts.The first part is about the design of a hybrid aero-engine model. Based on similarity theory, the steady-state hybrid aero-engine model is designed in the whole flight envelope by simplifying the integrated model of areoengine.The model possesses two merits. One is to enhance optimization realtime through linearizing most aero-engine components. The other is to improve the model accuracy with nonlinearly modeling for part engine components, meanwhile considering the geometrical dissimilarity existing in several components like nozzle in the process of optimizing aero-engine.In the second part, after combining the onboard hybrid aero-engine model with SQP (Sequential Quadratic Programming) to enhance optimization realtime, an approach applied to aero-engine performance seeking control is proposed. Firstly, with the optimization library based on C++, SQP is used in PSC. Subsequently, with the aid of the hybrid model, PSC including maximum thrust, minimum fuel-consumption and minimum turbine temperature is performed using SQP. Finally, digital simulations show that the proposed method takes the real-time advantage with the acceptable optimization effectiveness.In the last part, the proposed method is applied to the integrated flight/propulsion system. Lots of digital optimization simulations are carried out, and which illustrates that the method will bring about the acceptable optimization effectiveness under various flying missions, including climbing, speeding up, cruising and so on.
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