Modeling and Control Parameter Optimization of Fuel Pressurization System of Micro Gas Turbine

被引：0

作者：

Zhu, Ming-Yan ^{[1
]}

Wang, Rui ^{[2
]}

Xu, Fang-Cheng ^{[1
]}

Du, Xian ^{[1
]}

机构：

[1] Dalian Univ Technol, Sch Control Sci & Engn, Dalian 116000, Peoples R China

[2] Dalian Univ Technol, Sch Aeronaut & Astronaut, Dalian 116000, Peoples R China

来源：

PROCEEDINGS OF THE 38TH CHINESE CONTROL CONFERENCE (CCC) | 2019年

基金：

中国国家自然科学基金;

关键词：

Fuel pressurization system; Micro gas turbine; AMEsim model; MD control; Particle swarm optimization;

D O I：

10.23919/chicc.2019.8865838

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

In this paper, a modeling method is provided to model the fuel pressurization system of micro gas turbine, and the controller parameters are optimized to improve the performance. Firstly, component-level model is established according to the working principle of components, and then the integral model is established in AMEsim software. Furthermore, an intelligent optimization algorithm, called particle swarm optimization algorithm, is proposed to solve the problem of controller parameters optimization. Finally, simulation results show that the proposed method is effective and improves the performance.

引用

页码：1713 / 1718

页数：6

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