YaBeSH Engineering and Technology Library

    • Journals
    • PaperQuest
    • YSE Standards
    • YaBeSH
    • Login
    View Item 
    •   YE&T Library
    • ASME
    • Journal of Dynamic Systems, Measurement, and Control
    • View Item
    •   YE&T Library
    • ASME
    • Journal of Dynamic Systems, Measurement, and Control
    • View Item
    • All Fields
    • Source Title
    • Year
    • Publisher
    • Title
    • Subject
    • Author
    • DOI
    • ISBN
    Advanced Search
    JavaScript is disabled for your browser. Some features of this site may not work without it.

    Archive

    Performance Adaptive Generalized Predictive Control Based Proportional Integral Derivative Control System and Its Application

    Source: Journal of Dynamic Systems, Measurement, and Control:;2014:;volume( 136 ):;issue: 006::page 61003
    Author:
    Sato, Takao
    ,
    Yamamoto, Toru
    ,
    Araki, Nozomu
    ,
    Konishi, Yasuo
    DOI: 10.1115/1.4027923
    Publisher: The American Society of Mechanical Engineers (ASME)
    Abstract: In the present paper, we discuss a new design method for a proportionalintegralderivative (PID) control system using a model predictive approach. The PID compensator is designed based on generalized predictive control (GPC). The PID parameters are adaptively updated such that the control performance is improved because the design parameters of GPC are selected automatically in order to attain a userspecified control performance. In the proposed scheme, the estimated plant parameters are updated only when the prediction error increases. Therefore, the control system is not updated frequently. The control system is updated only when the control performance is sufficiently improved. The effectiveness of the proposed method is demonstrated numerically. Finally, the proposed method is applied to a weigh feeder, and experimental results are presented.
    • Download: (1.285Mb)
    • Show Full MetaData Hide Full MetaData
    • Get RIS
    • Item Order
    • Go To Publisher
    • Statistics

      Performance Adaptive Generalized Predictive Control Based Proportional Integral Derivative Control System and Its Application

    URI
    https://yetl.yabesh.ir/yetl1/handle/yetl/154425
    Collections
    • Journal of Dynamic Systems, Measurement, and Control

    Show full item record

    contributor authorSato, Takao
    contributor authorYamamoto, Toru
    contributor authorAraki, Nozomu
    contributor authorKonishi, Yasuo
    date accessioned2017-05-09T01:06:42Z
    date available2017-05-09T01:06:42Z
    date issued2014
    identifier issn0022-0434
    identifier otherds_136_06_061003.pdf
    identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/154425
    description abstractIn the present paper, we discuss a new design method for a proportionalintegralderivative (PID) control system using a model predictive approach. The PID compensator is designed based on generalized predictive control (GPC). The PID parameters are adaptively updated such that the control performance is improved because the design parameters of GPC are selected automatically in order to attain a userspecified control performance. In the proposed scheme, the estimated plant parameters are updated only when the prediction error increases. Therefore, the control system is not updated frequently. The control system is updated only when the control performance is sufficiently improved. The effectiveness of the proposed method is demonstrated numerically. Finally, the proposed method is applied to a weigh feeder, and experimental results are presented.
    publisherThe American Society of Mechanical Engineers (ASME)
    titlePerformance Adaptive Generalized Predictive Control Based Proportional Integral Derivative Control System and Its Application
    typeJournal Paper
    journal volume136
    journal issue6
    journal titleJournal of Dynamic Systems, Measurement, and Control
    identifier doi10.1115/1.4027923
    journal fristpage61003
    journal lastpage61003
    identifier eissn1528-9028
    treeJournal of Dynamic Systems, Measurement, and Control:;2014:;volume( 136 ):;issue: 006
    contenttypeFulltext
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian
     
    DSpace software copyright © 2002-2015  DuraSpace
    نرم افزار کتابخانه دیجیتال "دی اسپیس" فارسی شده توسط یابش برای کتابخانه های ایرانی | تماس با یابش
    yabeshDSpacePersian