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XIAO Jian-mei, WANG Xi-huai, LI Shun-lin. Dynamic Identification of Ship Diesel Engine Based on T-S Fuzzy Model[J]. Journal of Traffic and Transportation Engineering, 2006, 6(1): 80-83.
Citation: XIAO Jian-mei, WANG Xi-huai, LI Shun-lin. Dynamic Identification of Ship Diesel Engine Based on T-S Fuzzy Model[J]. Journal of Traffic and Transportation Engineering, 2006, 6(1): 80-83.
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Dynamic Identification of Ship Diesel Engine Based on T-S Fuzzy Model

  • 1.

    Department of Electrical Engineering and Automation, Shanghai Maritime University, Shanghai 200135, China

  • 2.

    Information Center, Lanzhou Jiaotong University, Lanzhou 730070, Gansu, China

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  • Author Bio:

    XIAO Jian-mei(1962-), female, professor, 86-21-58603674, jmxiao@cen.shmtu.edu.cn

  • Received Date: 2005-06-15
  • Publish Date: 2006-03-25
    Abstract
  • Considering the nonlinear of ship diesel engine model and the uncertainty of its loads, the paper investigated a T-S fuzzy identification algorithm to build ship diesel engine dynamic model.The number of fuzzy rules and the parameters of membership functions in the antecedent of T-S model were generated by fuzzy clustering method, the linear parameters of identification consequent in each rule were separately identified by weighted least square method.The output data of diesel speeds and turbocharger speeds under different throttle scales and loads were gained from some experimentations, when diesel engine was disturbed by a small deviation signal in its steady running state, the data were used to build a T-S fuzzy model of ship diesel engine, which could express the dynamic characteristic of diesel engine.Simulation result shows that the method is effective to identify the models of diesel engine speed, turbocharger speed, turbocharger pressure and air condenser pressure under small deviations.

     

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    • References(10)
  • [1]
    王赟松, 褚福磊, 刘亚东. 基于神经网络的柴油机故障诊断[J]. 交通运输工程学报, 2003, 3 (4): 44-47. http://transport.chd.edu.cn/article/id/200304016

    WANG Yun-song, CHU Fu-lei, LIU Ya-dong. Fault Diagnosis of Diesel Engine Based on Neural Network[J]. Journal of Traffic and Transportation Engineering, 2003, 3 (4): 44-47. (in Chinese) http://transport.chd.edu.cn/article/id/200304016
    [2]
    吴桂涛, 尹自斌, 孙培廷. 主机缸套冷却水出口温度控制方法[J]. 交通运输工程学报, 2003, 3 (4): 35-38. http://transport.chd.edu.cn/article/id/200304026

    WU Gui-tao, YIN Zi-bin, SUN Pei-ting. Temperature Control Method for Jacket Cooling Water System of Main Marine Diesel Engine[J]. Journal of Traffic and Transportation Engineering, 2003, 3 (4): 35-38. (in Chinese) http://transport.chd.edu.cn/article/id/200304026
    [3]
    肖健梅, 王锡淮, 鲍敏中. 神经网络在船舶主柴油机建模中的应用[J]. 船舶工程, 2001, 23 (6): 46-48. https://www.cnki.com.cn/Article/CJFDTOTAL-CANB200106011.htm

    XIAO Jian-mei, WANG Xi-huai, BAO Min-zhong. Application of Neural Network to the Ship Engine Model[J]. Ship Engineering, 2001, 23 (6): 46-48. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-CANB200106011.htm
    [4]
    ZHANG Jian, KANG Jing-li, WANG Min-nan. A RBF Network Based Nonlinear Modeling of Diesel Engine[J]. Transactions of CSICE, 2003, 21 (3): 221-226.
    [5]
    李顺林, 肖健梅. 基于T-S模糊模型的非线性系统辨识[J]. 兰州交通大学学报: 自然科学版, 2004, 23 (4): 58-60. https://www.cnki.com.cn/Article/CJFDTOTAL-LZTX200404017.htm

    LI Shun-lin, XIAO Jian-mei. Identification of Nonlinear Systems by Takagi-Sugeno Fuzzy Model[J]. Journal of Lanzhou Jiaotong University: Natural Sciences, 2004, 23 (4): 58-60. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-LZTX200404017.htm
    [6]
    TAKAGI T, SUGENO M. Fuzzy Identification of Systemsand Its Application to Modeling and Control[J]. IEEE Transactions on Systems, Man and Cybernetics, 1985, 15 (1): 116-132.
    [7]
    YOSHI NARI Y, PEDRYCZ W, HIROTA K. Construction of Fuzzy Models Through Clustering Techniques[J]. Fuzzy Setsand Systems, 1993, 54 (2): 157-165.
    [8]
    王锡淮, 李少远, 席裕庚. 基于自适应模糊聚类的神经网络软测量建模方法[J]. 控制与决策, 2004, 19 (8): 951-953. https://www.cnki.com.cn/Article/CJFDTOTAL-KZYC200408026.htm

    WANG Xi-huai, LI Shao-yuan, XI Yu-geng. Method of Neural Network Soft Sensor Modeling Based on Adaptive Fuzzy Clustering[J]. Control and Decision, 2004, 19 (8): 951-953. (in Chinese) https://www.cnki.com.cn/Article/CJFDTOTAL-KZYC200408026.htm
    [9]
    翁史烈. 船舶动力装置仿真技术[M]. 上海: 上海交通大学出版社, 1991.
    [10]
    吴晓莉. Matlab辅助模糊系统设计[M]. 西安: 西安电子科技大学出版社, 2002.
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