Mode transition (MT) is critical for adaptive cycle engine (ACE) to achieve mission adaptability. There are many constraints for the MT, making the control law difficult to design. At present, most design methods require manual analysis by researchers. When the design parameters of an engine are changed, it takes a lot of time to redesign the control law. What is more, most control laws need to adjust not only the mode selection valve (MSV), but also many other variable geometry components (VGCs) simultaneously, which makes the control system design complex and difficult. In this study, a general design method based on the particle swarm optimization method and the sensitivity calculation method is presented. This method can derive the control law for the MT without manual analysis, improving the efficiency of the design process. At most, one VGC needs to be adjusted during the change of state of the MSV, simplifying the control system. The fluctuation of thrust and airflow is less than 2%, and the surge margin of the compressors is higher than 10%, leading to a safe and stable MT. This method can adapt to the adjustment of the cycle parameters of the engine and the deviation of component performance, making it suitable for the engine performance design stage. It can also be applied to the design for other types of ACEs.

模式转换 (MT) 对于自适应循环发动机 (ACE) 实现任务适应性至关重要。MT 有很多约束，使得控制律难以设计。目前，大多数设计方法都需要研究人员进行人工分析。当发动机的设计参数发生变化时，重新设计控制律需要花费大量时间。此外，大多数控制律不仅需要调整模式选择阀 (MSV)，还需要同时调整许多其他可变几何组件 (VGC)，这使得控制系统设计复杂和困难。在这项研究中，提出了一种基于粒子群优化方法和灵敏度计算方法的通用设计方法。该方法无需人工分析即可推导出MT的控制律，提高了设计过程的效率。最多，MSV状态变化时需要调整1个VGC，简化控制系统。推力和气流波动小于2%，压气机喘振裕度大于10%，MT安全稳定。该方法能适应发动机循环参数的调整和部件性能的偏差，适用于发动机性能设计阶段。它也可以应用于其他类型 ACE 的设计。使其适用于发动机性能设计阶段。它也可以应用于其他类型 ACE 的设计。使其适用于发动机性能设计阶段。它也可以应用于其他类型 ACE 的设计。