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李秋红

副教授 硕士生导师

招生学科专业:
动力工程及工程热物理 -- 【招收硕士研究生】 -- 能源与动力学院
航空宇航科学与技术 -- 【招收硕士研究生】 -- 能源与动力学院
能源动力 -- 【招收硕士研究生】 -- 能源与动力学院

性别:女

毕业院校:南京航空航天大学

学历:南京航空航天大学

学位:工学博士学位

所在单位:能源与动力学院

办公地点:A10-512

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Joint steady state and transient performance adaptation for aero engine mathematical model

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所属单位:能源与动力学院

发表刊物:IEEE Access

摘要:In the field of aero-engine control, it is valuable to build highly accurate component level models to meet the requirements of controller validation and model-based control. The accuracy of current performance map generation method is limited by the test data that always cannot cover the full envelope. The scaling-based performance map correction methods only focus on the adjustment of the steady-state performance. Therefore, a performance map segmentation-based joint steady-state and transient performance adaptation technique is proposed. Both the idle point and the design point are taken as precision references to scale the performance maps with large deviations. A scaling factor domain determination method is provided based on the characters of the speed lines. The performance map is first optimized with the steady state calculation based on the steady-state test data, and further optimized with the transient calculation based on the transient test data. Both the steady-state and transient performance adaptations are achieved by adjusting the performance maps. The proposed method was applied to a turbofan engine model. For continuous acceleration case, the average error is less than 1% at steady state points and less than 2% during transient operation. For large magnitude acceleration and rapid deceleration cases, the maximum errors for parameters around the idle point decrease by about one time (from 8.3% to 4.1%) and three and a half times (from 28% to 8%), respectively, by comparing with the model without transient performance adaptation. Thus, the effectiveness of the proposed method is demonstrated. © 2019 IEEE.

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发表时间:2019-01-01

合写作者:Pang, Shuwei,Feng, Hailong,张海波

通讯作者:李秋红

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