Please use this identifier to cite or link to this item: http://hdl.handle.net/1959.13/933195
- Title
- Fault detection, isolation, and recovery using spline tools and differential flatness with application to a magnetic levitation system
- Author/Creator
-
Suryawan, Fajar;
De Dona, Jose;
Seron, Maria
- Institution
- The University of Newcastle. Faculty of Engineering & Built Environment, School of Electrical Engineering and Computer Science
- Description
- This paper discusses fault detection and isolation for continuous-time systems using B-Splines and the notion of differential flatness. The idea is, from the system’s flat outputs (which are obtained directly from measurement or from an observer), we algebraically produce every other measured signal, including the inputs. The corresponding signals are then compared. In nominal condition, a measured signal and its counterpart derived from the flat outputs are similar up to noise and the filter’s bandwidth. In the occurrence of faults, they are different. We then use this information to signify a fault and to compensate for it. The techniques used to produce signals from the flat outputs, and filter out the noise, are based on a B-Splines parametrisation.
- Relation
- 2010 Conference on Control and Fault Tolerant Systems (SysTol'10). Conference on Control and Fault Tolerant Systems, SysTol'10 : Final Program & Book of Abstracts (Nice, France 6-8 October, 2010) p. 293-298
- Publisher Link
- http://dx.doi.org/10.1109/SYSTOL.2010.5675959
- Date
- 2010
- Publisher
- Institute of Electrical and Electronics Engineers (IEEE)
- Keyword(s)
-
fault detection;
fault accommodation;
flatness;
B-splines;
FIR filter;
derivative estimation;
magnetic levitation
- Resource Type
- conference paper
- Identifier
- http://hdl.handle.net/1959.13/933195
- Identifier
- ISBN:9781424481545
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