Comparison of fault detection and isolation methods for a small unmanned aircraft

Raghu Venkataraman, Péter Bauer, Peter J Seiler Jr, Bálint Vanek

Research output: Contribution to journalArticle

Abstract

This paper compares three model-based methods for detecting and isolating stuck control surface faults on a small unmanned aircraft. The first method is parity-space based and compares a sensor measurement against a model-based prediction of the same quantity. The second method is observer-based and involves robust estimation for linear parameter-varying systems. The third method is also observer-based and involves multiple model adaptive estimation. The performance of the three methods are compared using flight data. The comparison shows that the three methods have different detection performance and runtime. The selection of a particular method depends on the application requirements and implementation constraints.

Original languageEnglish (US)
Pages (from-to)365-376
Number of pages12
JournalControl Engineering Practice
Volume84
DOIs
StatePublished - Mar 1 2019

Fingerprint

Fault Detection and Isolation
Fault detection
Aircraft
Control surfaces
Observer
Linear Parameter-varying Systems
Model-based
Sensors
Adaptive Estimation
Robust Estimation
Multiple Models
Parity
Fault
Sensor
Prediction
Requirements

Keywords

  • Fault detection and isolation
  • Linear parameter-varying systems
  • Multiple model adaptive estimation
  • Robust estimation
  • Small unmanned aircraft systems

Cite this

Comparison of fault detection and isolation methods for a small unmanned aircraft. / Venkataraman, Raghu; Bauer, Péter; Seiler Jr, Peter J; Vanek, Bálint.

In: Control Engineering Practice, Vol. 84, 01.03.2019, p. 365-376.

Research output: Contribution to journalArticle

Venkataraman, Raghu ; Bauer, Péter ; Seiler Jr, Peter J ; Vanek, Bálint. / Comparison of fault detection and isolation methods for a small unmanned aircraft. In: Control Engineering Practice. 2019 ; Vol. 84. pp. 365-376.
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