Abstract
Fault detection of a class of dual motor systems is discussed in this paper. A linear dual motor systems with sensor faults and actuator faults as well as random noise are modeled, and a Kalman filter based fault detection scheme is proposed. In the designed fault detection scheme, a Kalman filter based residual generator is constructed to generate the residual signal, and then an evaluation function is used to provide the fault decision, also a threshold is designed to detect the occurrence of faults. Finally, a simulation example is given to show the applicability and effectiveness of the proposed fault detection approach.
| Original language | English |
|---|---|
| Title of host publication | Proceedings of the 36th Chinese Control Conference, CCC 2017 |
| Editors | Tao Liu, Qianchuan Zhao |
| Publisher | IEEE Computer Society |
| Pages | 7133-7137 |
| Number of pages | 5 |
| ISBN (Electronic) | 9789881563934 |
| DOIs | |
| Publication status | Published - 7 Sept 2017 |
| Event | 36th Chinese Control Conference, CCC 2017 - Dalian, China Duration: 26 Jul 2017 → 28 Jul 2017 |
Publication series
| Name | Chinese Control Conference, CCC |
|---|---|
| ISSN (Print) | 1934-1768 |
| ISSN (Electronic) | 2161-2927 |
Conference
| Conference | 36th Chinese Control Conference, CCC 2017 |
|---|---|
| Country/Territory | China |
| City | Dalian |
| Period | 26/07/17 → 28/07/17 |
Keywords
- Dual Motor Systems
- Fault Detection
- Kalman Filter
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Guo, F., Ren, X., Li, Z., & Han, C. (2017). Kalman filter based fault detection of dual motor systems. In T. Liu, & Q. Zhao (Eds.), Proceedings of the 36th Chinese Control Conference, CCC 2017 (pp. 7133-7137). Article 8028481 (Chinese Control Conference, CCC). IEEE Computer Society. https://doi.org/10.23919/ChiCC.2017.8028481