Case Study: Implementation of Sensor Fault Reconstruction Schemes

  • Halim Alwi
  • Christopher Edwards
  • Chee Pin Tan
Part of the Advances in Industrial Control book series (AIC)


In this chapter the real time implementation of the sensor fault reconstruction schemes (for FDI and FTC) from the previous chapter, on a laboratory crane and a small DC-motor rig, will be discussed. These rigs provide cheap, safe and practical demonstrators for the ideas presented in the previous chapters. The data collection and (subsequent) controller implementation has been achieved using Matlab ® and dSPACE®. Estimates of the sensor faults, obtained from online sliding mode FDI schemes have been used to correct the measured outputs from the sensors. The ‘virtual sensors’ have been used in the control algorithm to form the output tracking error signal which is processed to generate the fault tolerant control signal.


Reconstruction Signal Sensor Fault Symmetric Positive Definite Matrix Distribution Matrix Slide Mode Observer 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.



The authors are extremely grateful to Peter Barwell, Peter Clarke and David Dryden for their considerable assistance in the development and maintenance of the laboratory crane rig. The efforts of Justin Lado Lomoro in terms of the data collection for the crane are acknowledged.


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Copyright information

© Springer-Verlag London Limited 2011

Authors and Affiliations

  • Halim Alwi
    • 1
  • Christopher Edwards
    • 1
  • Chee Pin Tan
    • 2
  1. 1.Department of EngineeringUniversity of LeicesterLeicesterUK
  2. 2.School of EngineeringMonash University Sunway CampusBandar SunwayMalaysia

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