Grewal, Karmjit Singh, Dixon, R., Goodall, Roger M. and Pearson, John (2010) Model-Based Fault Detection & Control Design Applied to a Pneumatic Application. In: 5th IFAC Symposium on Mechatronic Systems, 13th - 15th September 2010, Cambridge, Massachusetts.
- Accepted Version
Available under License Creative Commons Attribution Non-commercial No Derivatives.
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.
|Item Type:||Conference or Workshop Item (Paper)|
|Subjects:||T Technology > TF Railroad engineering and operation|
|Schools:||School of Computing and Engineering
School of Computing and Engineering > Institute of Railway Research
|Depositing User:||Cherry Edmunds|
|Date Deposited:||04 Jul 2013 12:56|
|Last Modified:||05 Dec 2016 17:36|
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