自适应循环发动机具有强的流量调节能力，通过维持流量降低进气道外流阻力，改善推进系统性能，其性能提升的实现离不开发动机和进排气系统的综合优化设计。然而，发动机总体方案论证前期往往仅对发动机本身开展优化设计，忽略了进排气系统对发动机匹配状态的影响，难以确定推进系统最优状态与发动机最优状态的一致性，而两者最优状态的异同性则决定了设计过程引入模型的复杂度和优化优先级。基于此，开展以多控制变量和多工作模式的自适应循环发动机为研究对象的推进系统总体性能优化方法研究。首先，构建自适应循环发动机的总体性能计算模型和安装性能计算模型；其次，针对不同构型的进气道和喷管，开展关键设计参数对安装损失的影响研究并进行安装性能评估，优选最佳的进排气系统构型和参数；最后，发展一种基于随机搜索算法和回归分析的推进系统总体性能优化方法，建立了两种获得推进系统性能的快速优化方法：第1种是优化发动机性能后计算安装性能，第2种是直接优化推进系统安装性能，并开展两种方法下巡航节流特性和速度-高度特性优化设计对比。通过对巡航状态最优节流特性和不同速度高度最大推力特性的回归拟合精度分析及重合度对比，发现巡航状态两种方法最优节流特性线的均方根误差最大约为0.01，两种方法最优速度-高度特性的均方根误差为0。由此表明，发动机的最优匹配状态可以表征推进系统的最优匹配状态，因此方案论证阶段无需引入进排气系统来保证推进系统的最优性，极大简化了方案设计的模型复杂度。利用该设计方法可以针对不同构型的自适应循环发动机开展推进系统性能的快速优化设计，具有很强的工程指导意义和应用价值。

Adaptive cycle engine possesses strong airflow adjustment capability， which can decrease inlet outflow drag and improve propulsion system performance by remaining airflow. And realizing the promotion on propulsion system performance is closely related to integrated optimization and design between engine and inlet/exhaust system. However， in early stages of engine overall scheme demonstration， optimization design is often carried out on the engine itself， neglecting the impact of the inlet/exhaust system on the engine’s matching condition. And the consistency of optimal conditions between propulsion system and engine is hard to be ensured， which determines model complexity and optimization priority during design process. Based on these problems， research on overall performance optimization method of propulsion system is carried out and adaptive cycle engine that has multiple control variables and working modes is taken as research object. Firstly， overall performance calculation model and installation performance calculation model of adaptive cycle engine are established. Secondly， the impact of key design parameters on installation loss of inlet/exhaust system and installation performance estimation are developed by using different configurations of inlets and nozzles. The optimal configurations and suitable parameters of inlets and nozzles are chosen. Finally， optimization method of propulsion system overall performance based on random search algorithm and regression analysis is developed. And two fast optimization methods to gain propulsion system performance are established： one is optimizing engine performance and then calculating installation performance， the other is directly optimizing installation performance. The comparisons of optimal performance between two optimization methods are conducted in the cruise throttling conditions and velocity-altitude characteristic conditions. By regression fitting precision analysis and coincidence comparison of optimal throttling characteristics in cruise conditions and maximum thrust characteristics in different velocities and altitudes， the maximum root mean square error is about 0.01 in cruise conditions， and 0 in velocity-altitude characteristic conditions， which means that optimal working conditions of engine can represent optimal working conditions of propulsion system. Therefore， during the scheme demonstration stage， it is unnecessary to consider the effect on inlet/exhaust system to ensure the optimality of the propulsion system， greatly simplifying the model complexity of the scheme design. This design method is suitable for different configurations of adaptive cycle engines to conduct fast optimization design of propulsion system performance， which has strong engineering guidance significance and application value.