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基于鲁棒自适应策略的燃气轮机系统控制器设计

谭雪琴 苏晓杰

南京信息工程大学学报2018,Vol.10Issue(2):166-172,7.
南京信息工程大学学报2018,Vol.10Issue(2):166-172,7.DOI:10.13878/j.cnki.jnuist.2018.02.006

基于鲁棒自适应策略的燃气轮机系统控制器设计

Robust controller design for gas turbine systems via robust adaptive control technique

谭雪琴 1苏晓杰1

作者信息

  • 1. 重庆大学 自动化学院,重庆,400030
  • 折叠

摘要

Abstract

Lots of sustainable resources cannot provide continuous and stable energy for their characteristics of in-termittent power providing,such as solar,wind,and tidal energy.Gas turbine power generation system demonstrates vast potential as an energy resource,due to its fast response and high efficiency characteristics,making it an ideal alternative source for hybrid renewable energy generation systems.However,its mathematical modeling often leads to complex nonlinear dynamics.Moreover,the most important part is the speed control loop,where traditional PID con-trollers were always applied.However,the parameters of controllers cannot be adjusted automatically,which will weaken the power system performance.Besides,considering that the actuator fault occurs,traditional controllers can-not guarantee the stability of the system,which may lead to failure of the plants operating.Therefore,by focusing on modeling a simplified single-shaft gas turbine generation system under stand-alone operation,this paper develops a control scheme for speed tracking loop based on the backstepping method.To account for modeling uncertainties and external disturbances,a robust adaptive control,combined with a dynamic surface control,is constructed.Besides,by considering the possibility of actuator faults,a fault tolerant control unit with Nussbaum-type functions is utilized.Fi-nally,simulations verify that the presented controllers ensure high precision of tracking performance.

关键词

燃气轮机/反步法/鲁棒自适应控制/容错控制/动态面设计

Key words

gas turbine generation system/backstepping method/robust adaptive control/fault tolerant control/dy-namic surface design

分类

信息技术与安全科学

引用本文复制引用

谭雪琴,苏晓杰..基于鲁棒自适应策略的燃气轮机系统控制器设计[J].南京信息工程大学学报,2018,10(2):166-172,7.

基金项目

资助项目国家自然科学基金(61772095,61403048) (61772095,61403048)

南京信息工程大学学报

OACSTPCD

1674-7070

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