• DocumentCode
    553083
  • Title

    Research of predictive system for feed quantity of combine based on fuzzy neural network

  • Author

    Jin Chen ; Shiyu Zheng ; Shijie Lv ; Yuelan Zheng ; Yaoming Li

  • Author_Institution
    Sch. of Mech. Eng., Jiangsu Univ., Zhenjiang, China
  • Volume
    2
  • fYear
    2011
  • fDate
    26-28 July 2011
  • Firstpage
    863
  • Lastpage
    867
  • Abstract
    A predictive system for feed quantity of combine based on fuzzy neural network was proposed to solve the delay problem of measuring feed quantity. This paper constructed the predictive system according to the actual destination and then decided the input and output of the network and its fuzzy dividing. At the same time, this paper investigated the construction of fuzzy rule base and designed the topological structure of networks. From experiments, this paper selected the example data for testing and abstracted initial fuzzy rules and trained the network using the example data and checked the generalizing ability of the network. The result proved the network of predictive system to be practicable. It was useful to improve real-time performance of control system of combine.
  • Keywords
    agricultural machinery; delays; fuzzy neural nets; knowledge based systems; predictive control; combine control system; combine feed quantity; delay problem; fuzzy neural network; fuzzy rule base construction; predictive system; Agricultural machinery; Axles; Feeds; Fuzzy control; Fuzzy neural networks; Sensors; Torque; Combine harvester; Feed quantity; Fuzzy Neural Network; Predictive control;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Fuzzy Systems and Knowledge Discovery (FSKD), 2011 Eighth International Conference on
  • Conference_Location
    Shanghai
  • Print_ISBN
    978-1-61284-180-9
  • Type

    conf

  • DOI
    10.1109/FSKD.2011.6019644
  • Filename
    6019644