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research-article

Real-time Variable Geometry Triaxial Gas Turbine Model for Hardware-in-the-loop Simulation Experiments

[+] Author and Article Information
Tao Wang

Institute of Engineering Thermophysics, Chinese Academy of Sciences, University of Chinese Academy of Sciences
wangtao15@iet.cn

Yong-sheng Tian

Institute of Engineering Thermophysics, Chinese Academy of Sciences
tianyongsheng@iet.cn

Zhao Yin

Institute of Engineering Thermophysics, Chinese Academy of Sciences
yinzhao@iet.cn

Da-yue Zhang

Institute of Engineering Thermophysics, Chinese Academy of Sciences
zhangdayue@iet.cn

Ming-ze Ma

Inner Mongolia University of Technology
540634964@qq.com

Qing Gao

Institute of Engineering Thermophysics, Chinese Academy of Sciences, University of Chinese Academy of Sciences
gaoqing@iet.cn

Chunqing Tan

Institute of Engineering Thermophysics, Chinese Academy of Sciences, University of Chinese Academy of Sciences
tan@iet.cn

1Corresponding author.

ASME doi:10.1115/1.4038992 History: Received August 25, 2017; Revised December 27, 2017

Abstract

This paper proposes a Hybrid Method (HMRC) comprised of a Radial Basis Function (RBF) neural net algorithm and Component-level Modeling Method (CMM) as a real-time simulation model for triaxial gas turbines with variable power turbine guide vanes in MATLAB/SIMULINK. The sample size is decreased substantially after analyzing the relationship between high and low pressure shaft rotational speeds under dynamic working conditions, which reduces the computational burden of the simulation. The effects of the power turbine rotational speed on overall performance are also properly accounted for in the model. The RBF neural net algorithm and CMM are used to simulate the gas generator and power turbine working conditions respectively, in the HMRC. The reliability and accuracy of both the traditional single CMM model (SCMM) and HMRC model are verified using gas turbine experiment data. The simulation models serve as a controlled object to replace the real gas turbine in a hardware-in-the-loop simulation experiment. The HMRC model shows better real-time performance than the traditional SCMM model, suggesting that it can be readily applied to hardware-in-the-loop simulation experiments.

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