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    A Novel Generalized Predictive Control Strategy With Improved Time Domain Performance

    Source: Journal of Dynamic Systems, Measurement, and Control:;2022:;volume( 144 ):;issue: 012::page 121005
    Author:
    He, Ning;Li, Shang;Hao, Wenbin;Xu, Gongbo;Liu, Liqiang
    DOI: 10.1115/1.4055772
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: Due to the ability of handling the coupling property of multivariable control system, generalized predictive control (GPC) has been widely employed in process industry. However, the existing GPC method normally utilizes the frequency domain indices in the design procedure, which is not intuitive to the industrial end users. Therefore, a new GPC method with improved time domain performance is proposed for multipleinputmultipleoutput system. First, the slope and rate of change of the slope of the system outputs are considered as two new weighting terms in the cost function of GPC such that the dynamic characteristics of the system can be better considered in the optimal control problem of the controller. Second, given the modified cost function, the resultant GPC algorithm is developed to improve the time domain performance of the system. Third, the convergence and stability of the closedloop system under the proposed method are theoretically proved. Finally, the experimental results based on the variable air volume (VAV) air conditioning system show that the time domain performance indices, including overshoot and settling time, of the proposed method, have been improved by 68.75% and 66.67%, compared with the traditional GPC, showing the advantages of the new GPC method.
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      A Novel Generalized Predictive Control Strategy With Improved Time Domain Performance

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    http://yetl.yabesh.ir/yetl1/handle/yetl/4289022
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    • Journal of Dynamic Systems, Measurement, and Control

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    contributor authorHe, Ning;Li, Shang;Hao, Wenbin;Xu, Gongbo;Liu, Liqiang
    date accessioned2023-04-06T13:04:18Z
    date available2023-04-06T13:04:18Z
    date copyright10/17/2022 12:00:00 AM
    date issued2022
    identifier issn220434
    identifier otherds_144_12_121005.pdf
    identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4289022
    description abstractDue to the ability of handling the coupling property of multivariable control system, generalized predictive control (GPC) has been widely employed in process industry. However, the existing GPC method normally utilizes the frequency domain indices in the design procedure, which is not intuitive to the industrial end users. Therefore, a new GPC method with improved time domain performance is proposed for multipleinputmultipleoutput system. First, the slope and rate of change of the slope of the system outputs are considered as two new weighting terms in the cost function of GPC such that the dynamic characteristics of the system can be better considered in the optimal control problem of the controller. Second, given the modified cost function, the resultant GPC algorithm is developed to improve the time domain performance of the system. Third, the convergence and stability of the closedloop system under the proposed method are theoretically proved. Finally, the experimental results based on the variable air volume (VAV) air conditioning system show that the time domain performance indices, including overshoot and settling time, of the proposed method, have been improved by 68.75% and 66.67%, compared with the traditional GPC, showing the advantages of the new GPC method.
    publisherThe American Society of Mechanical Engineers (ASME)
    titleA Novel Generalized Predictive Control Strategy With Improved Time Domain Performance
    typeJournal Paper
    journal volume144
    journal issue12
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4055772
    journal fristpage121005
    journal lastpage12100511
    page11
    treeJournal of Dynamic Systems, Measurement, and Control:;2022:;volume( 144 ):;issue: 012
    contenttypeFulltext
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