| 董桢1，周文祥1，潘慕绚1，黄开明2.涡轴发动机部件特性修正及更新方法[J].航空发动机,2018,44(6): |
| 涡轴发动机部件特性修正及更新方法 |
| Modification and Updating Method in Component Characteristics of Turboshaft Engine |
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| DOI： |
| 中文关键词: 涡轴发动机 部件特性修正 部件级模型 粒子群算法 航空发动机 |
| 英文关键词:turboshaft engine component characteristics modification component level model Particle Swarm Optimization aeroengine |
| 基金项目:国家自然科学基金（51406084）、中央高校基本科研业务费（3082015NS2015027）、江苏省航空动力系统重点实
验室基金（NJ20160020）资助 |
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| 中文摘要: |
| 针对由航空发动机零部件制造、装配及性能退化引起的发动机模型与实际发动机之间的性能不匹配问题，提出1 种基
于粒子群优化算法（PSO） 的发动机部件特性自动修正及更新方法。根据发动机部件级模型的输出数据和发动机性能分析软件
GasTurb 计算结果，以发动机关键测量参数所定义的目标函数最小为优化目标，利用PSO 获取不同相对换算转速下的部件特性修正
因子，并在线完成特性图的自动更新。并以某型涡轴发动机为对象进行仿真验证，结果表明：该方法可有效提高涡轴发动机部件级
模型的精度，并直接输出更新后的部件特性 |
| 英文摘要: |
| In order to solve the problem of performance mismatch between engine model and actual engine caused by manufacture,
assembly and performance degeneration of the aeroengine parts,an automatic modification and updating method of aeroengine component
characteristics was proposed based on Particle Swarm Optimization (PSO). According to the output data of engine component level model
and the calculation results of engine performance analysis software GasTurb,the minimum objective function defined by key measurement
parameters of engine was taken as the optimization objective. The correction factor of component characteristics under different relative
conversion speed was obtained and the automatic updating of the characteristic diagrams were completed online by using PSO. The
simulation results show that this method can effectively improve the accuracy of the component level model of the turboshaft engine and
directly output the updated characteristics of the component with the turboshaft as a simulation verification object. |
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