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FAULT DETECTION AND ISOLATION BASED ON HYBRID SLIDING MODE OBSERVER and FUZZY LOGIC | ||
| KUFA JOURNAL OF ENGINEERING | ||
| Article 1, Volume 6, Issue 1, 2015, Pages 93-102 | ||
| Authors | ||
| Abbas H. Issa; Hawraa Fouad Baqir | ||
| Abstract | ||
| Faults detection and isolation scheme on the bases of a hybrid Sliding Mode Observer (SMO) technique and fuzzy logic technique has been presented in this paper. The SMO technique was used for the fault detection purpose based on residual signal which represent the difference between output of the process and output of the model that used as a fault indicator, while the fuzzy logic technique was used as a fault isolator depending on fuzzy rules base and fuzzy membership functions. The performance of this hybrid technique is evaluated on a model of DC motor, the proposed scheme is illustrated on a Matlab/Simulink simulator and the results demonstrated a successful implementation of the proposed Fault Detection and Isolation FDI scheme. | ||
| Keywords | ||
| Fault Detection and Isolation; Sliding Mode Observer; Fuzzy Logic; Residual Generation; DC Motor Modeling; Residual; DC motor | ||
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