Identification of unbalance faults in rotors with unknown input observers using classical and LMI based approaches

Ramakrishnan Ambur, Raja Sangili Vadamalu, Stephan Rinderknecht

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


Fault diagnosis in rotating machines have been attempted by researchers with many different techniques. The common fault occurring in a rotor system is the unbalance. Different techniques exist to determine their magnitude and location in circumferential and axial direction. In this paper, an attempt is made to identify and locate unbalance faults on a rotor system using an Unknown Input Observer (UIO). Its matrices are constructed by two methods, first is a classical method by solving the algebraic Riccatti equations and other by solving a set of Linear Matrix Inequality (LMI) equations. This has the advantage of designing a stable observer without facing the problem of pole placement. Both the methods have been simulated with the model of a rotor test bench. The results are found to be accurate in a simulation environment.

Original languageEnglish
Title of host publication2016 European Control Conference (ECC 2016)
PublisherInstitute of Electrical and Electronics Engineers (IEEE)
Number of pages5
ISBN (Electronic)978-1-5090-2591-6
ISBN (Print)978-1-5090-2592-3 (PoD)
Publication statusPublished - 9 Jan 2017
Event2016 European Control Conference, ECC 2016 - Aalborg, Denmark
Duration: 29 Jun 20161 Jul 2016


Conference2016 European Control Conference, ECC 2016


  • Mathematical model
  • Rotors
  • Observers
  • Solid modeling
  • Fault diagnosis
  • Linear matrix inequalities
  • Fault detection

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Control and Optimization


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