On-line fault diagnosis of launch vehicle thrust loss based on parameter estimation method

Haipeng Chen, Jie Yan, Tianjun Zhang, Wenxing Fu

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

4 Scopus citations

Abstract

The online diagnosis of a single thrust drop fault of the launch vehicle's four engines is studied. Based on the simplified space motion equation of the launch vehicle, the relationship between thrust and overload acceleration information is established. Then the engine thrust is identified by the least squares method of forgetting factor, and the relationship between the identified thrust and the true thrust is linearly fitted to realizes the online diagnosis of thrust drop faults. Combined with overload location strategy, the fault location of four engines was realized. The digital simulation results show that the proposed method can diagnose the engine thrust loss fault accurately and quickly, and verify the effectiveness under the wind disturbance.

Original languageEnglish
Title of host publicationProceedings of IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2021
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages871-876
Number of pages6
ISBN (Electronic)9781728190181
DOIs
StatePublished - 14 Apr 2021
Event2nd IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2021 - Dalian, China
Duration: 14 Apr 202116 Apr 2021

Publication series

NameProceedings of IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2021

Conference

Conference2nd IEEE Asia-Pacific Conference on Image Processing, Electronics and Computers, IPEC 2021
Country/TerritoryChina
CityDalian
Period14/04/2116/04/21

Keywords

  • Fault diagnosis
  • Launch vehicle
  • Parameter estimation
  • Thrust loss fault

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