Research on Real-Time Model of Turboshaft Engine with Surge Process

Xinglong Zhang, Lingwei Li, Tianhong Zhang
{"title":"Research on Real-Time Model of Turboshaft Engine with Surge Process","authors":"Xinglong Zhang, Lingwei Li, Tianhong Zhang","doi":"10.1109/PHM-Nanjing52125.2021.9612904","DOIUrl":null,"url":null,"abstract":"At present, the main data source for the verification of surge detection devices still relies on the surge test of the compressor or the whole engine which makes it urgent to study the simulation methods of the whole engine surge process to replace the high-cost and high-risk surge test. To solve this problem, a turboshaft engine component level model (CLM) is established firstly and then the compressor characteristic lines are expanded in the classic Moore-Greitzer (MG) model to establish an extended MG model. Finally, a novel real-time surge model based on the surge mechanism for simulating the turboshaft engine dynamic process of surge is proposed with considering the coupling relationship between compressor’s rotor speed, mass flow and pressure of CLM and extended MG model. The simulation results show that the model can realize the whole-process simulation of the whole process of steady—surge—steady under multiple operating states of the engine. The change characteristics of the rotor speed, compressor outlet pressure, mass flow, exhaust gas temperature and other parameters are consistent with the test data, which means this model can be further applied to the simulation test research of surge detection and anti-surge control.","PeriodicalId":436428,"journal":{"name":"2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)","volume":"10 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2021-10-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2021 Global Reliability and Prognostics and Health Management (PHM-Nanjing)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/PHM-Nanjing52125.2021.9612904","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 2

Abstract

At present, the main data source for the verification of surge detection devices still relies on the surge test of the compressor or the whole engine which makes it urgent to study the simulation methods of the whole engine surge process to replace the high-cost and high-risk surge test. To solve this problem, a turboshaft engine component level model (CLM) is established firstly and then the compressor characteristic lines are expanded in the classic Moore-Greitzer (MG) model to establish an extended MG model. Finally, a novel real-time surge model based on the surge mechanism for simulating the turboshaft engine dynamic process of surge is proposed with considering the coupling relationship between compressor’s rotor speed, mass flow and pressure of CLM and extended MG model. The simulation results show that the model can realize the whole-process simulation of the whole process of steady—surge—steady under multiple operating states of the engine. The change characteristics of the rotor speed, compressor outlet pressure, mass flow, exhaust gas temperature and other parameters are consistent with the test data, which means this model can be further applied to the simulation test research of surge detection and anti-surge control.
涡轮轴发动机喘振过程实时模型研究
目前,喘振检测装置验证的主要数据源仍然依赖于压气机喘振试验或整机喘振试验,因此迫切需要研究整机喘振过程的仿真方法来取代高成本、高风险的喘振试验。为了解决这一问题,首先建立了涡轮轴发动机部件级模型(CLM),然后在经典的Moore-Greitzer (MG)模型中对压气机特征线进行扩展,建立了扩展的MG模型。最后,考虑压气机转子转速、质量流量和压力之间的耦合关系,提出了一种新的基于喘振机理的实时喘振模型,用于模拟涡轴发动机喘振的动态过程。仿真结果表明,该模型能够实现发动机在多种工况下的稳-喘-稳全过程仿真。转子转速、压缩机出口压力、质量流量、排气温度等参数的变化特征与试验数据一致,说明该模型可进一步应用于喘振检测及防喘振控制的仿真试验研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信