Dynamic Real-Time Simulation of Triaxial Marine Gas Turbine with Variable Power Turbine Guide Vane

被引：0
|
作者：
Wang T. [1 ,2 ]
Yin Z. [1 ]
Tian Y.-S. [1 ]
Gao Q. [1 ,2 ]
Tan C.-Q. [1 ,2 ]
机构：
[1] Institute of Engineering Thermophysics, Chinese Academy of Sciences, Beijing
[2] University of Chinese Academy of Sciences, Beijing
来源：
| 2018年 / Journal of Propulsion Technology卷 / 39期
关键词：
Component modeling method; Marine gas turbine; RBF neural net; Real-time simulation; Variable guide vane;
D O I：
10.13675/j.cnki.tjjs.2018.01.024
中图分类号：
学科分类号：
摘要：
There are some limitations in using traditional gas turbine modeling approaches for dynamic real-time simulation of triaxial marine gas turbine with variable power turbine guide vane. Therefore, Hybrid Method (HMRC) of Radial basis function (RBF) neural net algorithm and Component modeling method (CMM) is developed. After analyzing the characteristics of the gas turbine structure and overall performance, sample points are selected reasonably to minimize sample size. Using neural net algorithm and component modeling method to calculate gas generator and power turbine relevant parameters respectively, the real-time simulation model is built by MATLAB/SIMULINK. Through the comparison between new model and CMM model, computational results of the new model are very close to those of CMM model with the error less than 1%. Meanwhile, the new model real-time performance is improved significantly as the new model is about 7 times CMM model computation speed. © 2018, Editorial Department of Journal of Propulsion Technology. All right reserved.
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页码：212 / 219
页数：7
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