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Observer design for sensor and actuator fault estimation applied to polynomial LPV systems: a riderless bicycle study case

Author

Listed:
  • J. A. Brizuela Mendoza
  • F. D. J. Sorcia Vázquez
  • C. H. Guzmán Valdivia
  • R. Osorio Sánchez
  • M. Martínez García

Abstract

The present paper addresses an observer design for fault estimation applied to polynomial linear parameter varying (LPV) systems. The main contribution corresponds to a design to provide the estimation of both actuator and sensor faults acting on the system, modelled as additive faults taking place at any time and simultaneously, inclusively. The observer design includes a boundary factor in order to guarantee the estimation error convergence to zero despite the fault occurrence. Simulation results showing the effectiveness of the proposed observer by considering a riderless bicycle LPV model, which depends on the translational velocity of the vehicle, are provided.

Suggested Citation

  • J. A. Brizuela Mendoza & F. D. J. Sorcia Vázquez & C. H. Guzmán Valdivia & R. Osorio Sánchez & M. Martínez García, 2018. "Observer design for sensor and actuator fault estimation applied to polynomial LPV systems: a riderless bicycle study case," International Journal of Systems Science, Taylor & Francis Journals, vol. 49(14), pages 2996-3006, October.
    • Handle: RePEc:taf:tsysxx:v:49:y:2018:i:14:p:2996-3006
    DOI: 10.1080/00207721.2018.1530398
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    Cited by:

    1. Jorge A. Brizuela-Mendoza & Juan Carlos Mixteco-Sánchez & Maria A. López-Osorio & Gerardo Ortiz-Torres & Felipe D. J. Sorcia-Vázquez & Ricardo Eliú Lozoya-Ponce & Moises B. Ramos-Martínez & Alan F. Pé, 2023. "On the State-Feedback Controller Design for Polynomial Linear Parameter-Varying Systems with Pole Placement within Linear Matrix Inequality Regions," Mathematics, MDPI, vol. 11(22), pages 1-19, November.

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