An Improved Model-Based Controller for Power Turbine Generators on Grid System of Shipboard

被引:4
|
作者
Matsui, Nobumasa [1 ]
Kurokawa, Fujio [2 ]
机构
[1] Choryo Control Syst Co Ltd, Nagasaki 8508610, Japan
[2] Nagasaki Univ, Dept Adv Technol & Sci Sustainable Dev, Nagasaki 8528521, Japan
关键词
Adaptive control; cogeneration; distributed power generation; energy conversion; frequency control; marine equipment; power control; power system dynamics; power system modeling; power system simulation; system identification; turbo-machinery; waste recovery;
D O I
10.1109/TIA.2012.2199273
中图分类号
T [工业技术];
学科分类号
08 ;
摘要
The purpose of this paper is to present an improved model-based controller for power turbine generators (PTGs) on a shipboard grid system. Propulsion can be accomplished by means of main diesel engines. One arrangement for the onboard power requirements of merchant ships is the PTG extract part of the exhaust gas from the main diesel engines. The speed control, however, is difficult to keep in place because of fouling conditions and variations across time. The proposed controller is evaluated by comparing it with the conventional controller in a simulation. Furthermore, the proposed controller is evaluated in a prototype. In the simulation result using the proposed controller, the limit speed overshooting as a transient response is improved by more than 25%. In the prototype test, the limit frequency overshooting is 0.60%, and the settling time is 3.8 s. Hence, the proposed controller is confirmed to have an excellent property.
引用
收藏
页码:1237 / 1242
页数:6
相关论文
共 50 条
  • [41] A Model-Based Diagnosis System for a Traction Power Supply System
    Liu, Zhigang
    Hu, Keting
    [J]. IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2017, 13 (06) : 2834 - 2843
  • [42] Improved intelligent model predictive controller for the nuclear power reactor system
    Mostafa, Khaled M.
    Abduallah, Mahmoud
    Saleh, Hassan
    Elsawy, Nabila
    [J]. Kerntechnik, 2024, 89 (06) : 764 - 773
  • [43] Application of neural network controller for maximum power extraction of a grid-connected wind turbine system
    Ro, K
    Choi, HH
    [J]. ELECTRICAL ENGINEERING, 2005, 88 (01) : 45 - 53
  • [44] Application of neural network controller for maximum power extraction of a grid-connected wind turbine system
    Kyoungsoo Ro
    Han-ho Choi
    [J]. Electrical Engineering, 2005, 88 : 45 - 53
  • [45] Building a model-based fuzzy controller
    Postlethwaite, BE
    [J]. FUZZY SETS AND SYSTEMS, 1996, 79 (01) : 3 - 13
  • [46] CFD for model-based controller development
    Desta, TZ
    Janssens, K
    Van Brecht, A
    Meyers, J
    Baelmans, M
    Berckmans, D
    [J]. BUILDING AND ENVIRONMENT, 2004, 39 (06) : 621 - 633
  • [47] Building a model-based fuzzy controller
    Univ of Strathclyde, Glasgow, United Kingdom
    [J]. Fuzzy Sets Syst, 1 (3-13):
  • [48] Model-based controller for anesthesia automation
    Albino Mendez, J.
    Torres, Santiago
    Reboso, Jose A.
    Reboso, Hector
    [J]. 2009 IEEE INTERNATIONAL CONFERENCE ON AUTOMATION SCIENCE AND ENGINEERING, 2009, : 379 - +
  • [49] A MULTIRATE MODEL-BASED PREDICTIVE CONTROLLER
    SCATTOLINI, R
    SCHIAVONI, N
    [J]. IEEE TRANSACTIONS ON AUTOMATIC CONTROL, 1995, 40 (06) : 1093 - 1097
  • [50] A MIMO fuzzy model-based controller
    Postlethwaite, B
    Edgar, C
    [J]. CHEMICAL ENGINEERING RESEARCH & DESIGN, 2000, 78 (A4): : 557 - 564