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    An Onboard Aeroengine Model-Tuning System

    Source: Journal of Aerospace Engineering:;2017:;Volume ( 030 ):;issue: 004
    Author:
    Shuiting Ding
    ,
    Ye Yuan
    ,
    Naiyu Xue
    ,
    Xiaofeng Liu
    DOI: 10.1061/(ASCE)AS.1943-5525.0000726
    Publisher: American Society of Civil Engineers
    Abstract: This study investigates an onboard aeroengine model (OBEM)-tuning system (OTS) based on a hybrid Kalman filter, which is mostly used to estimate the aeroengine performance. The OTS structure comprises two parts. One is an OBEM, the other a linear parameter-varying Kalman filter. The Kalman filter is used as a regulator to minimize the mismatch of the measured outputs between the OBEM and the actual engine. This study describes the method and procedure used to construct the OTS. The results from the application of the technique to the aeroengine simulations are presented and compared to the conventional approach of tuner selection. The new methodology is shown to yield a significant improvement in online Kalman filter estimation accuracy.
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      An Onboard Aeroengine Model-Tuning System

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4245043
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    contributor authorShuiting Ding
    contributor authorYe Yuan
    contributor authorNaiyu Xue
    contributor authorXiaofeng Liu
    date accessioned2017-12-30T13:03:06Z
    date available2017-12-30T13:03:06Z
    date issued2017
    identifier other%28ASCE%29AS.1943-5525.0000726.pdf
    identifier urihttp://138.201.223.254:8080/yetl1/handle/yetl/4245043
    description abstractThis study investigates an onboard aeroengine model (OBEM)-tuning system (OTS) based on a hybrid Kalman filter, which is mostly used to estimate the aeroengine performance. The OTS structure comprises two parts. One is an OBEM, the other a linear parameter-varying Kalman filter. The Kalman filter is used as a regulator to minimize the mismatch of the measured outputs between the OBEM and the actual engine. This study describes the method and procedure used to construct the OTS. The results from the application of the technique to the aeroengine simulations are presented and compared to the conventional approach of tuner selection. The new methodology is shown to yield a significant improvement in online Kalman filter estimation accuracy.
    publisherAmerican Society of Civil Engineers
    titleAn Onboard Aeroengine Model-Tuning System
    typeJournal Paper
    journal volume30
    journal issue4
    journal titleJournal of Aerospace Engineering
    identifier doi10.1061/(ASCE)AS.1943-5525.0000726
    page04017018
    treeJournal of Aerospace Engineering:;2017:;Volume ( 030 ):;issue: 004
    contenttypeFulltext
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    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian