• DocumentCode
    3573412
  • Title

    Multi-model predictive control based on neural network and its application in power plant

  • Author

    Guolian Hou ; Xu Bai ; Jinfang Zhang ; Zhilong Zhao

  • Author_Institution
    Sch. of Control & Comput. Eng., North China Electr. Power Univ., Beijing, China
  • fYear
    2014
  • Firstpage
    4379
  • Lastpage
    4383
  • Abstract
    In this paper, the algorithm of multi-model predictive control based on neural network is proposed and applied in 160MW Bell-Åström model. Firstly, the algorithm is described. Each sub-controller is designed based on state space model predictive control, and the global controller is gained from neural network weights. Then, sub-models of Bell-Åström are given. Lastly, multi-model predictive control and constrained multi-model predictive control are applied in Bell-Åström model. The algorithm is effective in controlling the unit and has good performance.
  • Keywords
    neural nets; power plants; power system control; predictive control; Bell-Åström model; multimodel predictive control; neural network; power 160 MW; power plant; state space model predictive control; Aerospace electronics; Algorithm design and analysis; Neural networks; Power systems; Prediction algorithms; Predictive control; Predictive models; Bell-Åström model; Multi-model predictive control; constrained multi-model predictive control; neural network;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation (WCICA), 2014 11th World Congress on
  • Type

    conf

  • DOI
    10.1109/WCICA.2014.7053450
  • Filename
    7053450
    • Link To Document
    https://search.isc.ac/dl/search/defaultta.aspx?DTC=49&DC=3573412