| In recent decades, with the development of power electronic and the increasingly maturation of high-power AC motor frequency control technology, the ship electric propulsion becomes the development trend of future ship power plant because of its multiple advantages. At present, the research of ship electric propulsion system is still at the starting stage in China. Therefore through thoroughly studying of the ship electric propulsion modeling and simulation can accelerate the development of the research for ship electric propulsion system.This paper took the ferryboat of "Yan-Da Ferry" as the object. First, the ship hull model and the propeller model were established by the generalization function of RBF neural network. To construct these models, the computation of ship resistance, the propeller thrust characteristic and the propeller torque characteristic were studied. Second, the permanent magnet synchronous machine (PMSM) vector control simulation model was constructed, and its dynamic and static performance was analyzed. The PMSM mathematical model was analyzed; the SVPWM simulation module was constructed and applied to the vector control simulation system. Third, a kind of self adjusting fuzzy PI control algorithm was proposed. This algorithm takes the rotational speed deviation and the rotational speed deviation change as the inputs, it can adjusting the integral coefficient dynamically. Appling this algorithm to the PMSM vector control simulation system can improve the system's static and dynamic performance to some extent. In the end, this paper established the electric propulsion simulation system of "Yan-Da Ferry" ferryboat and simulated the dynamic accelerating process of ferryboat from the static to the full speed. The ship hull model, the propeller model and the PMSM vector control model were united in the simulation of the electric propulsion. |