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    An Optimal Speed Control Method of Multiple Turboshaft Engines Based on Sequence Shifting Control Algorithm

    Source: Journal of Dynamic Systems, Measurement, and Control:;2022:;volume( 144 ):;issue: 004::page 41003-1
    Author:
    Wang, Yong
    ,
    Cai, Changpeng
    ,
    Song, Jie
    ,
    Zhang, Haibo
    DOI: 10.1115/1.4053088
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In order to overcome the problem of significant drop in operational efficiency remarkably while power turbine speed varies among a large range, an optimal speed control method of multiple turboshaft engines based on sequential shifting control (SSC) algorithm is proposed. Firstly, combined with multispeed gearboxes, a sequential shifting control algorithm of multiple turboshaft engines is proposed and designed to accomplish continuously variable speed control. Then, selecting the minimum engine fuel flow as the optimization objective, an integrated optimization method of optimal speed based on multiple engines and multispeed gearboxes is proposed to promote the operational economy. Finally, the simulation tests of the optimal speed control method of twin and triple turboshaft engines are conducted separately. The results demonstrate that the optimal speed control method of multiple turboshaft engines based on SSC algorithm can change the power turbine speeds by no more than 7% and the main rotor speed by over 8% simultaneously. In addition, compared with the fixed-ratio transmission (FRT), engine fuel flows decrease by more than 2% under different cruise states. It proves that the optimal speed control method is beneficial to obtain more superior overall performances of the integrated helicopter/multi-engine system without considerable loss of compressor surge margin.
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      An Optimal Speed Control Method of Multiple Turboshaft Engines Based on Sequence Shifting Control Algorithm

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4284687
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    contributor authorWang, Yong
    contributor authorCai, Changpeng
    contributor authorSong, Jie
    contributor authorZhang, Haibo
    date accessioned2022-05-08T09:03:44Z
    date available2022-05-08T09:03:44Z
    date copyright1/7/2022 12:00:00 AM
    date issued2022
    identifier issn0022-0434
    identifier otherds_144_04_041003.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4284687
    description abstractIn order to overcome the problem of significant drop in operational efficiency remarkably while power turbine speed varies among a large range, an optimal speed control method of multiple turboshaft engines based on sequential shifting control (SSC) algorithm is proposed. Firstly, combined with multispeed gearboxes, a sequential shifting control algorithm of multiple turboshaft engines is proposed and designed to accomplish continuously variable speed control. Then, selecting the minimum engine fuel flow as the optimization objective, an integrated optimization method of optimal speed based on multiple engines and multispeed gearboxes is proposed to promote the operational economy. Finally, the simulation tests of the optimal speed control method of twin and triple turboshaft engines are conducted separately. The results demonstrate that the optimal speed control method of multiple turboshaft engines based on SSC algorithm can change the power turbine speeds by no more than 7% and the main rotor speed by over 8% simultaneously. In addition, compared with the fixed-ratio transmission (FRT), engine fuel flows decrease by more than 2% under different cruise states. It proves that the optimal speed control method is beneficial to obtain more superior overall performances of the integrated helicopter/multi-engine system without considerable loss of compressor surge margin.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleAn Optimal Speed Control Method of Multiple Turboshaft Engines Based on Sequence Shifting Control Algorithm
    typeJournal Paper
    journal volume144
    journal issue4
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4053088
    journal fristpage41003-1
    journal lastpage41003-11
    page11
    treeJournal of Dynamic Systems, Measurement, and Control:;2022:;volume( 144 ):;issue: 004
    contenttypeFulltext
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