| 基于云粒子群算法的航空发动机性能衰退模型研究 |
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| 引用本文： | 王永华,李冬.基于云粒子群算法的航空发动机性能衰退模型研究[J].燃气涡轮试验与研究,2012(1):17-19,43. |
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| 作者姓名： | 王永华 李冬 |
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| 作者单位： | 海军航空工程学院飞行器工程系;海军航空工程学院研究生管理大队 |
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| 摘 要： | 压气机和涡轮是发动机的关键部件,其性能下降对发动机性能有重要影响。本文研究了压气机和涡轮的性能衰退,将部件性能衰退等价转化为部件失效因子,修正部件特性,建立了某型涡扇发动机的非线性性能衰退计算模型;提出了云粒子群优化算法,以改善迭代收敛速度慢、计算时间长的问题。基于非线性发动机性能衰退模型,进行了部件性能衰退对发动机性能影响的定量计算,所得结论为发动机状态监控提供了依据。
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| 关 键 词： | 航空发动机 部件特性 性能老化 云粒子群算法 模型 |
Research on Aero-Engine Performance Deterioration Model Based on the Cloud Particle Swarm Optimization |
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| WANG Yong-hua,LI Dong.Research on Aero-Engine Performance Deterioration Model Based on the Cloud Particle Swarm Optimization[J].Gas Turbine Experiment and Research,2012(1):17-19,43. |
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| Authors: | WANG Yong-hua LI Dong |
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| Institution: | 1.Department of Aerocraft Engineering,Naval Aeronautical and Astronautical University, Yantai 264001,China;2.Graduate Student Brigade,Naval Aeronautical and Astronautical University,Yantai 264001,China) |
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| Abstract: | Compressor and turbine are the key components of aero-engine.Their performance deterioration has important effect on the engine performance.The component characteristic is corrected through the compressor and turbine revised factor.The performance deterioration model is established based on the revised component characteristics,and a new cloud particle swarm optimization is carried out in order to accelerate convergence.The effects of component performance deterioration are analyzed using the nonlinear performance deterioration model.The results offer theoretical referenced value to engine performance deterioration and relative influence between components. |
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| Keywords: | aero-engine component characteristic performance deterioration cloud particle swarm optimization model |
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