Based On Ts Fuzzy Model Of Marine Diesel Engine Dynamic Model Identification

Modeling and identification of dynamical nonlinear system is one of the important aspects in automation. As for many systems with uncertainty and complexity, it is difficult to model by means of traditional method. And marine power system is a complex one which works involved with boat, diesel engine and oar. It is one of the major tasks to establish the mathematical model of diesel engine to control the marine main engine. However, the running mechanism of diesel engine is quite complex, and the system is nonlinear and time-variable, so difficulties in physical modeling arise.Since it is convenient to extract and express the information in fuzzy system, which can approximate the nonlinear function defined in compact set at any precision, it is preferable to other methods in the modeling of the complicated nonlinear system. A fuzzy rule-based model suitable for approximation of a large class of nonlinear system was introduced by Takagi and Sugeno in 1985. The antecedent of TS model is still fuzzy proposition, but its consequent is a crisp function of the antecedent variables rather than a fuzzy proposition. TS fuzzy models provide a suitable framework for modeling by decomposition of a nonlinear system into a collection of local linear models. The individual consequent is linear system which can be analyzed by using standard tools of linear systems theory. Therefore, the dynamical model of the main marine diesel engine can be established effectively by using TS fuzzy model, and the dynamical model will be used in the fields such as real time control and predictive control.In this paper, TS fuzzy model and its identification algorithms are investigated deeply. And a method is put forward which computes nonlinear dynamic fuzzy models from input/output measurement data. This method includes the application of GK fuzzy clustering. In fact, the use of fuzzy clustering facilitates automatic generation of Takagi-Sugeno rules and its antecedent parameters. Some algorithms of fuzzy clustering are studied and they are compared with each other in this paper. And the above-mentioned algorithms are realized by means of MATLAB.Due to the restriction of condition, the practical measurement data hasn't been obtained. Hence, the mechanism model of marine power system is established by the toolbox of SIMULINK. The model is based on the status that the diesel engine is disturbed...