| 航空发动机参数不确定模型辨识方法 |
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| 引用本文： | 白杰,刘帅,王伟.航空发动机参数不确定模型辨识方法[J].航空动力学报,2020,35(1):178-184. |
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| 作者姓名： | 白杰 刘帅 王伟 |
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| 作者单位： | 河北工业大学机械工程学院,天津300130;中国民航大学民航航空器适航审定技术重点实验室,天津300300,河北工业大学机械工程学院,天津300130,中国民航大学民航航空器适航审定技术重点实验室,天津300300 |
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| 摘 要： | 针对航空发动机线性模型在工况点附近使用范围较小的问题,提出一种航空发动机不确定性模型辨识方法。该方法使用非线性规划处理航空发动机模型辨识问题,求解过程考虑线性模型中矩阵参数不确定性的影响,以期获得一个具有适用范围大、形式简单的航空发动机模型。使用该方法对DGEN380发动机在某一稳态点进行辨识,定义实际工况偏差参数和模型最大偏差参数分析DGEN380发动机参数不确定模型的误差范围。使用实验数据与参数不确定模型仿真结果进行比较,结果表明油门杆角度变化小于22%时,参数不确定模型与实际发动机状态的偏差量较小,能够在1%误差范围内模拟实际发动机状态。
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| 关 键 词： | 参数不确定模型 模型辨识 非线性规划 发动机线性模型 模型偏差 |
| 收稿时间： | 2019/6/11 0:00:00 |
Identification method for parameter uncertain model of aero-engine |
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| BAI Jie,LIU Shuai and WANG Wei.Identification method for parameter uncertain model of aero-engine[J].Journal of Aerospace Power,2020,35(1):178-184. |
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| Authors: | BAI Jie LIU Shuai and WANG Wei |
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| Institution: | School of Mechanical Engineering,Hebei University of Technology,Tianjin 300130,China;Key Laboratory for Airworthiness Certification Technology of Civil Aviation Aircraft,Civil Aviation University of China,Tianjin 300300,China,School of Mechanical Engineering,Hebei University of Technology,Tianjin 300130,China and Key Laboratory for Airworthiness Certification Technology of Civil Aviation Aircraft,Civil Aviation University of China,Tianjin 300300,China |
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| Abstract: | The linear model of aero-engine is effective within a small application range. According to this problem, the identification method for parameter uncertainty model of aero-engine was proposed. The identification problem was solved by calculating nonlinear programming. The parameter uncertainty was considered in the identification method for an uncertainty model of aero-engine. A parameter uncertainty model of aero-engine with large range of application can be obtained. This method was used for DGEN380 aero-engine. Two parameters, the deviation parameter of actual working conditions and the maximum deviation parameter of model, were defined for describing error range. Compared with experimental data, the uncertainty model of DGEN 380 can simulate the real state of DGEN380 within 1% error range when the variation of the power lever angle was less than 22%. |
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| Keywords: | parameter uncertainty model model identification nonlinear programming linear model of aero-engine deviation parameter of model |
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