Temperature Control of a Regasification System for LNG-fuelled Marine Engines Using Nonlinear Control Techniques

  • Gun-Baek So
  • Hyun-Sik Yi
  • Yung-Deug Son
  • Gang-Gyoo Jin
Regular Papers Intelligent Control and Applications


This paper presents two nonlinear PID (NPID) controllers which control the glycol temperature of a regasification system for LNG-fuelled engines. The NPID controllers have a parallel structure of the three nonlinear P, I, D actions or the linear P, D actions and nonlinear I action. A nonlinear function is employed to scale the error as input of the integral and implemented as a Takagi-Sugeno (T-S) fuzzy model. The controller parameters are optimally tuned by using a genetic algorithm. Furthermore, the stability problem of the overall system is verified based on the circle criterion. A set of simulation works is carried out to validate the efficiency of the two proposed controllers.


Circle criterion nonlinear PID controller temperature control T-S fuzzy model 


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Copyright information

© Institute of Control, Robotics and Systems and The Korean Institute of Electrical Engineers and Springer-Verlag GmbH Germany, part of Springer Nature 2018

Authors and Affiliations

  • Gun-Baek So
    • 1
  • Hyun-Sik Yi
    • 2
  • Yung-Deug Son
    • 3
  • Gang-Gyoo Jin
    • 4
  1. 1.Department of Convergence Study on the OSTOST School, KMOUBusanKorea
  2. 2.Computing Systems Inc.DaejeonKorea
  3. 3.Department of Mechanical Facility Control EngineeringKorea University of Technology and EducationChungcheongnam-doKorea
  4. 4.Division of Control and Automation EngineeringKMOUBusanKorea

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