A global scheme for multiple and simultaneous faults in system actuators and sensors

This paper deals with a new method current sensors faults detection isolation (FDI) and reconfiguration of the control loops of a permanent magnet synchronous motor (PMSM) drives. The stator currents are measured as well as observed. During fault free operation, the measured signals are used for the PMSM control. In the case of current sensors faults, the faulty measurements are detected and isolated using the new FDI algorithm. This algorithm uses an augmented PMSM model and a bank of adaptive observers to generate residuals. The resulting residuals are used for sensor fault detection. A logic algorithm is built in such a way to isolate and identify the faulty sensor for a stator phase current fault after detecting the fault occurrence. After sensor fault detection and isolation, the control is reconfigured using the healthy observer's outputs. The validity of the proposed method is verified by simulation tests.

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“…Up on the adaptation technique, a bank of nonlinear observers is designed covering all possible faulty models below [21], [22]:…”

Section: B Extended Pmsm Model and Proposed Methodsmentioning

confidence: 99%

Current sensors faults detection, isolation and control reconfiguration for PMSM drives

Grouz

Sbita

Boussak

2013

2013 International Conference on Electrical Engineering and Software Applications

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show abstract

“…Up on the adaptation technique, a bank of nonlinear observers is designed covering all possible faulty models below [18], [19]:…”

Section: B Extended Pmsm Model and Proposed Methodsmentioning

confidence: 99%

Single, multiple and simultaneous current sensors FDI based on an adaptive observer for PMSM drives

Sbita

Grouz

Boussak

2013

2013 International Conference on Electrical Engineering and Software Applications

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This paper deals with a new method single, multiple and simultaneous current sensors faults detection isolation (FDI) and identification for permanent magnet synchronous motor (PMSM) drives. A new state variable is introduced so that an augmented system can be constructed to treat PMSM sensor faults as actuator faults. This method uses the PMSM model and a bank of adaptive observers to generate residuals. The resulting residuals are used for sensor fault detection. A logic algorithm is built in such a way to isolate and identify the faulty sensor for a stator phase current fault after detecting the fault occurrence. The validity of the proposed method is verified by simulation tests.

show abstract

“…Up on the adaptation technique, a bank of nonlinear observers is designed covering all possible faulty models below [17], [18]:…”

Section: T U U Y Ymentioning

confidence: 99%

Current sensors gain faults detection and isolation based on an adaptive observer for PMSM drives

Grouz

Sbita

Boussak

2013

10th International Multi-Conferences on Systems, Signals &Amp; Devices 2013 (SSD13)

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This paper deals with a new method current sensors gain faults detection and isolation (FDI) for permanent magnet synchronous motor (PMSM) drives. A new state variable is introduced so that an augmented system can be constructed to treat PMSM sensor faults as actuator faults. This method uses the PMSM model and a bank of adaptive observers to generate residuals. The resulting residuals are used for sensor gain fault detection. A logic algorithm is built in such a way to isolate and identify the faulty sensor for a stator phase current gain fault after detecting the fault occurrence. The validity of the proposed method is verified by simulation tests.Index Terms-PMSM, adaptive observers, current sensors, gain faults detection and isolation.

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A global scheme for multiple and simultaneous faults in system actuators and sensors

Cited by 6 publications

References 12 publications

Current sensors faults detection, isolation and control reconfiguration for PMSM drives

Current sensors faults detection, isolation and control reconfiguration for PMSM drives

Single, multiple and simultaneous current sensors FDI based on an adaptive observer for PMSM drives

Current sensors gain faults detection and isolation based on an adaptive observer for PMSM drives

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