Numerical Simulation and Performance Analysis on Windmill Starting Process of Small Turbojet Engine

作     者：杨欣毅 田宇 朱旭程 周源 李冠军 

作者机构：Naval Aeronautical and Astronautical University Detachment 92 Unit No.92941 Naval East China Sea Fleet 19 division 

出 版 物：《Defence Technology（防务技术）》 (Defence Technology)

年 卷 期：2011年第7卷第3期

页      面：145-152页

学科分类：082502[工学-航空宇航推进理论与工程] 08[工学] 0825[工学-航空宇航科学与技术] 

基　　金：Sponsored by the National Aeronautical Science Foundation of China(20095584006) 

主　　题：missile propulsion turbojet engine windmill moving least squares particle swarm optimization 

摘      要：A new simulation strategy is proposed for the starting process of missile turbojet engine windmill. The starting process of windmill before ignition is simulated using a radial basis function neural network (RBFNN) , and the acceleration process after ignition which model is a set of nonlinear equations is solved using a particle swarm optimization (PSO) algorithm. The introduction of PSO helped to tackle the problem of divergence caused by traditional iteration methods. The calculated result is in a great agreement with test data, which shows that the presented model has a high accuracy. The starting processes are simulated at different ignition times, and the results are analyzed synthetically. The analysis shows how the ignition time affects the starting performance of engine windmill. The method offers a useful tool for ignition time optimization as well as engine starting performance analysis.