Integrated Modeling and Simulating of the Three-axis Turbine Power Generation based on the Neural Network Identification

Gas turbine units are used in industrial applications more and more widely, and many people have researched widely in the fault diagnosis technology and the control technology for the gas turbine units. Simulation of Gas Turbine technology is the basis and the mathematical model of real-time is the basis of all relevant digital simulation. Using the neural network recognition technology of the radial basis function and the curve-fitting technology of part-characteristics, the mathematical model of three-axis gas turbine is established. At the same time the simulation model is established based on Matlab/simulink software. The dynamic simulation of the gas turbine for the burden loading and reducing has been researched and the response of for the output speed and fuel capacity is obtained. It is shown that the model of the gas turbine has the fast learning speed, high sampling rate and high accuracy.