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整机条件下涡扇发动机部件特征参数辨识
引用本文:王军,隋岩峰.整机条件下涡扇发动机部件特征参数辨识[J].航空动力学报,2013,28(3):666-672.
作者姓名:王军  隋岩峰
作者单位:中国航空工业集团公司 沈阳发动机设计研究所,沈阳 110015
基金项目:国家自然科学基金重点项目(61233002)
摘    要:为解决整机条件下难于直接获得部件全部特征参数的问题,在计算发动机部件特征参数对整机性能敏感度的基础上,利用条件数分析参数之间的相关性最终确定可修正参数数量.这样即可构造工程上可解的辨识问题,并通过最小二乘法求解.仿真计算结果显示:高压压气机效率为0.982与初设值0.98一致,说明该方法从理论上是可行的.从具体实例的辨识结果来看,有压气机后温度测试时部件效率降低量值符合实际结果;无压气机后温度测试时高压压气机效率较设计状态偏高12.7%,不符合实际发动机工作情况.显然辨识问题是病态的,为此可修正参数不应超过6个. 

关 键 词:涡扇发动机    特征参数    条件数    最小二乘    辨识
收稿时间:4/1/2012 12:00:00 AM

Identification of component characteristic parameter for whole turbofan engine
WANG Jun and SUI Yan-feng.Identification of component characteristic parameter for whole turbofan engine[J].Journal of Aerospace Power,2013,28(3):666-672.
Authors:WANG Jun and SUI Yan-feng
Institution:Shenyang Engine Design and Research Institute, Aviation Industry Corporation of China, Shenyang 110015, China
Abstract:In order to solve the difficulty to directly obtain all characteristic parameters of the components in the whole turbofan engine, it was determined ultimately that the number of corrected parameters by using the condition number of the correlations between parameters, on the basis of sensitivity calculation of the characteristic parameters of engine components to engine performance. Thus, the identification problem could be solved in engineering by the least square method. The simulation results show the efficiency of high compressor was 0.982 consistent with initial value of 0.98 , indicating that the method is theoretically feasible. From the identification results of concrete example, the efficiency value of components were in accord with the actual results with the compressor temperature test; in contrast, the efficiency value compared with the design state was higher than 12.7% , which did not match the actual engine operating conditions. Clearly, the identification problem was ill-posed, so parameters can be amend should not exceed 6.
Keywords:turbofan engine  characteristic parameter  condition number  least square  identification
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