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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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