Fault Detection and Isolation Current Sensor of Electrical Powertrain System
| Autor: | Kondo H. Adjallah, Ahmed Maidi, Moussa Boukhnifer, Ahmed Chaibet, Dehbia Ouamara, Alexandre Sava |
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| Přispěvatelé: | Université Mouloud Mammeri [Tizi Ouzou] (UMMTO), Laboratoire de Conception, Optimisation et Modélisation des Systèmes (LCOMS), Université de Lorraine (UL), École Supérieure des Techniques Aéronautiques et de Construction Automobile (ESTACA) |
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
State variable
Multiplicative fault detection Electrical vehicle Powertrain Computer science 02 engineering and technology Hardware_PERFORMANCEANDRELIABILITY Residual Fault detection and isolation Extended Kalman filter State variables estimation 0203 mechanical engineering Control theory Defect isolation [INFO.INFO-AU]Computer Science [cs]/Automatic Control Engineering [INFO.INFO-SY]Computer Science [cs]/Systems and Control [cs.SY] Current sensor Induction motor Nonlinear filters Residual signals Stators 020302 automobile design & engineering Inverters Fault sensor Mechanical power transmission Current measurement [INFO.INFO-MO]Computer Science [cs]/Modeling and Simulation Torque Kalman filters |
| Zdroj: | ICCAD'2020-the 4th International Conference on Control, Automation and Diagnosis ICCAD'2020-the 4th International Conference on Control, Automation and Diagnosis, Oct 2020, Paris, France. ⟨10.1109/ICCAD49821.2020.9260549⟩ |
| Popis: | International audience; In this paper, an approach for detection and isolation of defect in induction motor in electrical vehicle is presented. Three current sensors which can predispose to faults (fault is modeled as an additional fault offset or multiplicative fault (gain) are assumed. An Extended Kalman Filter (EKF) is synthesized to estimate the state variables in the induction machine in order to calculate the residual signals. These residuals are then used to detect the fault occurrence and identify the faulty sensor based on a threshold scheme. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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