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Model-based fault detection and control design – applied to a pneumatic industrial application

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conference contribution
posted on 2010-09-03, 14:33 authored by Karmjit Singh Grewal, Roger Dixon, Roger Goodall, John Pearson
In safety critical applications it is important to detect faults that may compromise system safety and to take appropriate action. This paper discusses research carried-out on the development and validation of a model-based fault detection and isolation (FDI) system for a pneumatically actuated Stewart platform. The FDI scheme is based on combining parity equation and Kalman filter based techniques. The parity and Kalman filter equations are formulated and used to generate residuals that, in turn, are analysed to determine whether faults are present in the system. Details of the design process are given and the experimental results are compared. The results demonstrate that both approaches when combined can successfully detect and isolate and in some cases accommodate faults associated with the sensors, actuators (servo-valves and piping) and the pneumatic system itself.

History

School

  • Mechanical, Electrical and Manufacturing Engineering

Citation

GREWAL, K.S. ... et al, 2010. Model-based fault detection and control design – applied to a pneumatic industrial application. IN: Chiu, G.T.-C. and Youcef-Toumi, K. (eds.). Proceedings of 5th IFAC Symposium on Mechatronic Systems, Cambridge, USA, 13th-15th September.

Publisher

© IFAC

Version

  • AM (Accepted Manuscript)

Publication date

2010

Notes

This is a conference paper. It was presented at 2010 IFAC Symposium on Mechatronic Systems [© IFAC]. The definitive version is available at: http://dx.doi.org/10.3182/20100913-3-US-2015.00093

ISBN

9783902661760

Language

  • en