• DocumentCode
    1791862
  • Title

    D6114 diesel engine speed control: A case between PID controller and fuzzy logic controller

  • Author

    Mohammed, Naeim Farouk ; Enzhe Song ; Xiuzhen Ma ; Hayat, Qaisar

  • Author_Institution
    Sch. of Power & Energy Eng., Harbin Eng. Univ., Harbin, China
  • fYear
    2014
  • fDate
    3-6 Aug. 2014
  • Firstpage
    275
  • Lastpage
    279
  • Abstract
    The engine speed controller of a conventional diesel engine is called a Governor. In order to control engine speed, the governor controls the amount of fuel using fuel rack. This study presents a development of speed control of D6114 diesel engine by using PID controller and a self-tuning fuzzy PID controller to overcome the appearance of nonlinearities and uncertainties in the systems. The self-tuning fuzzy PID controller is the combination of a classical PID and fuzzy controller. The mathematical model of the diesel engine is also done by using System Identification technique. First, PID controller was applied; then, a fuzzy logic control algorithm is used to estimate the PID coefficient in order to handle such uncertainties to produce a better control performance. Simulation tests were established using Simulink of Matlab. The obtained results have demonstrated the feasibility and effectiveness of the proposed fuzzy approach comparing to the PID controller. Simulation results are represented in this study.
  • Keywords
    adaptive control; control nonlinearities; diesel engines; fuzzy control; self-adjusting systems; three-term control; uncertain systems; velocity control; D6114 diesel engine speed control; Matlab; PID coefficient estimation; Simulink; control performance; fuel amount control; fuel rack; fuzzy logic controller; governor; mathematical model; self-tuning fuzzy PID controller; system identification technique; system nonlinearities; system uncertainties; uncertainty handling; Diesel engines; Fuels; Fuzzy logic; Mathematical model; Niobium; Tuning; Diesel Engine; Mathematical Modeling; PID Controller; Self Tuning Fuzzy PID Controller;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Mechatronics and Automation (ICMA), 2014 IEEE International Conference on
  • Conference_Location
    Tianjin
  • Print_ISBN
    978-1-4799-3978-7
  • Type

    conf

  • DOI
    10.1109/ICMA.2014.6885708
  • Filename
    6885708