Faten Grouz

FDI based on an adaptive observer for current and speed sensors of PMSM drives

Abstract This paper deals with a new method of current and speed sensors faults detection isolation (FDI) and identification for a 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 residuals results 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. Simulation results are presented to illustrate the functionality of theoretical developments. Experimental results with 1.1-kW PMSM have validated the effectiveness of the proposed FDI method. The experimental implementation is carried out on powerful dSpace DS1103 controller board based on the DSP TMS320F240.

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

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.

Particle swarm optimization based fault diagnosis for non-salient PMSM with multi-phase inter-turn short circuit

This paper deals with a new scheme for the automatic diagnosis of multiphase inter-turn short circuit faults in a non-salient permanent magnet synchronous motor (PMSM) stator windings. Base on a general dynamic model of a non-salient PMSM subjected to the multiphase inter-turn short circuit fault, a particle swarm optimization (PSO) algorithm is developed which can provide a diagnosis of the fault position and level by identifying the amount of the shorted turns for each phase. The advantages of the proposed algorithm, is the capability of single, multiple and simultaneous phase ITSC fault diagnosis. The proposed method is simulated in MATLAB/ Simulink environment. Extensive simulation studies provide preliminary verification of the fault diagnosis scheme.

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

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 observers outputs. The validity of the proposed method is verified by simulation tests.

Modelling for non-salient PMSM with multi-phase inter-turn short circuit

In this paper, a general dynamic model of a nonsalient PMSM subjected to the multiphase inter-turn short circuit fault is proposed. This model can quantitatively describe the faults occurring in multiple phases of the stator. This fault model is simulated in MATLAB/Simulink environment. Extensive simulation studies provide preliminary verification of the validity and the precision of the proposed dynamic model for different levels of fault severity.

Synergetic MPPT Controller for Photovoltaic System

A novel non-linear power point tracking method of photovoltaic system (PV) based on synergetic control strategy is proposed. This technique uses a synergetic control strategy to achieve the maximum power point output without a chattering phenomenon. The PV system consists of a PV panel, DC-DC boost converter, MPPT controller and an output load. Synergetic control is easy to implement, has controllable dynamics towards the origin and gives a good maximum power operation under environmental changes (solar radiation and PV cell temperature).To show the robustness and validity of this approach a mathematical model is presented and simulated using Matlab/SIMULINK under different atmospheric conditions. Indeed, the simulation results showed the advantages of this new algorithm, especially the reduction of the chattering problem.

A sliding mode model reference adaptive control of PMSG wind turbine

In this study, a model reference adaptive sliding mode speed controller (SM-MRAC) for a direct drive wind energy conversion chain is presented. The system model includes a wind turbine with horizontal axis driving a permanent magnet synchronous generator (PMSG) through a rectifier connected to the dc-bus. The designed SM-MRAC controller is compared with a conventional PI controller. The model and the control of the proposed system are implemented on MATLAB/SIMULINK software. The simulation results improve the effectiveness of the SM-MRAC and show the performance specification comparison with the conventional PI controller.

Vector control of a PMSG direct-drive wind turbine

In this paper, the model and the control of the direct-drive wind energy conversion system with permanent magnet synchronous generator PMSG are studied and implemented on MATLAB/ Simulink software. The model includes a wind turbine with horizontal axis driving PMSG through a power transmission device and debits through a rectifier connected to the dc-bus. A vector control strategy is applied. The results of various simulation of the conversion chain improve the performance of the proposed system.

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

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.