• DocumentCode
    3132806
  • Title

    Simulation of Speed Controlling System on Diesel Engine Based on FN

  • Author

    Ming-jiang, Hu ; Gao-feng, Yang

  • Author_Institution
    Dept. of Thermal Energy Eng., Henan Univ. of Urban Constr., Pingdingshan, China
  • fYear
    2011
  • fDate
    8-9 Oct. 2011
  • Firstpage
    358
  • Lastpage
    361
  • Abstract
    Based on the working mechanism of the speed controlling system on the diesel engine, the control program of the diesel engine speed controlling system was built using the FNN-GA syncretic theory, control strategy of the diesel engine speed controlling system combined the fuzzy neural network (FNN) and the Genetic Algorithm (GA) was developed, the fuzzy reasoning logic and the dynamic simulation model of the diesel engine speed control system were established, these performance simulation of the diesel engine speed controlling system, such as, the increasing load and the decreasing load, were put forward by the FNN-GA syncretic control strategy. The simulation result showed that the FNN-GA syncretic control strategy could make the performance of the diesel engine speed controlling system parameters maintain optimal at all times, the FNN-GA syncretic strategy had the good resolving power and could control accurately the diesel engine controlling speed performance.
  • Keywords
    diesel engines; fuzzy control; genetic algorithms; neurocontrollers; velocity control; FNN-GA syncretic control theory; diesel engines; fuzzy neural network; genetic algorithm; speed controlling system; Control systems; Diesel engines; Fuzzy control; Fuzzy neural networks; Genetic algorithms; Load modeling; Control; Diesel engine; Dynamic simulation; Fuzzy neural network; Speed control system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Knowledge Acquisition and Modeling (KAM), 2011 Fourth International Symposium on
  • Conference_Location
    Sanya
  • Print_ISBN
    978-1-4577-1788-8
  • Type

    conf

  • DOI
    10.1109/KAM.2011.102
  • Filename
    6137656