Abstract: To improve the flight performance of advanced multirole fighter， with adaptive cycle engine as the research object， a multi-objective optimization model which is composed of multi-role fighter aircraft / adaptive cycle engine performance model was established. Based on the constraint analysis and mission analysis of the advanced multi-purpose fighter， the performance constraint condition and multi-segment optimization target of the adaptive cycle engine are determined. The improved multi-objective comprehensive particle swarm optimization (PSO) algorithm is used to match the design parameters of the engine. The optimized computation of the adjustment rules of geometry-variable parts under the different non-design point is conducted. The comparison of the calculated results shows that the optimized adaptive cycle engine reduces the total fuel consumption by 9.5% compared with the reference state， the thrust increased by 9.6% in the supersonic combat state， and the aircraft's range and operational performance are improved significantly. The analysis method for multi-role fighter aircraft / adaptive cycle engine integrated analysis provides a reference.

Key words: Advanced multirole fighters；Adaptive cycle engine；Multi-objective optimization；Integration analysis

摘要： 为提升先进多用途战斗机的飞行性能，以自适应循环发动机为研究对象，建立了基于飞机/发动机性能模型联合的多目标优化模型。通过对先进多用途战斗机的约束分析和任务分析研究，确定了自适应循环发动机的多航段优化目标和性能约束条件，利用改进的多目标全面学习粒子群算法，对发动机的设计点参数匹配和非设计点下的变几何部件调节规律进行了优化计算。计算结果的对比表明，优化后的自适应循环发动机比基准状态总耗油量降低9.5%，超声速作战状态下的推力增大了9.6%，飞机的航程和作战性能收益明显，分析方法对近未来先进多用途战斗机的一体化分析提供了借鉴。

关键词: 先进多用途战斗机；自适应循环发动机；多目标优化；一体化分析