Diagnosis of a Permanent Magnet Synchronous Generator using the Extended Kalman Filter and the Fast Fourier Transform

Gliga, Lavinius Ioan; Chafouk, Houcine; Popescu, Dumitru; Lupu, Ciprian

doi:10.1109/icosc.2018.8587632

Cited by 13 publications

(8 citation statements)

References 16 publications

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“…The presented method improves the estimation of generator speed reference and can extract the optimum generator power, especially during the small oscillations of the wind speed. None of the papers that have tried to improve the estimation accuracy [22][23][24] and other papers presented so far have addressed this idea on the PMSG wind turbine by estimating unpredictable parameters, which can significantly improve the accuracy of MPPT implementation. For this purpose, the unpredictable parameters were first identified, and then the generator speed was determined by the uncertainty estimation of these parameters.…”

Section: Discussionmentioning

confidence: 99%

“…By replacing Equations ( 18) and (22) in Equation ( 24), the wind turbine torque components can be expressed as Equations ( 26) and (27). Figure 4 shows that at maximum power points at different wind speeds, the Equation ( 23) exists.…”

Section: Parameter Estimationmentioning

confidence: 99%

“…By replacing Equations ( 18) and (22) in Equation ( 24), the wind turbine torque components can be expressed as Equations ( 26) and (27). )…”

Section: Parameter Estimationmentioning

confidence: 99%

“…This intelligent MPPT method can decrease the generated power in over-rating conditions, decreasing the power and voltage fluctuations. Gliga et al [22] have proposed a novel fault diagnosis and identification method for eccentricity faults in a PMSG-based wind turbine using EKF and Fast Fourier Transform (FFT). Although employing the introduced method spectrum of the stator currents is invariant to changes in the wind speed, it is sensitive to faults and affects the system output power.…”

Section: Introductionmentioning

confidence: 99%

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MPPT Improvement for PMSG-Based Wind Turbines Using Extended Kalman Filter and Fuzzy Control System

et al. 2021

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Variable speed wind turbines are commonly used as wind power generation systems because of their lower maintenance cost and flexible speed control. The optimum output power for a wind turbine can be extracted using maximum power point tracking (MPPT) strategies. However, unpredictable parameters, such as wind speed and air density could affect the accuracy of the MPPT methods, especially during the wind speed small oscillations. In this paper, in a permanent magnet synchronous generator (PMSG), the MPPT is implemented by determining the uncertainty of the unpredictable parameters using the extended Kalman filter (EKF). Also, the generator speed is controlled by employing a fuzzy logic control (FLC) system. This study aims at minimizing the effects of unpredictable parameters on the MPPT of the PMSG system. The simulation results represent an improvement in MPPT accuracy and output power efficiency.

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Section: Discussionmentioning

confidence: 99%

Section: Parameter Estimationmentioning

confidence: 99%

“…By replacing Equations ( 18) and (22) in Equation ( 24), the wind turbine torque components can be expressed as Equations ( 26) and (27). )…”

Section: Parameter Estimationmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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MPPT Improvement for PMSG-Based Wind Turbines Using Extended Kalman Filter and Fuzzy Control System

et al. 2021

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“…Extended Kalman Filter is the most suitable observer to estimate the state variables of a nonlinear system [4-26-27]. EKF is robust against measurements noises and modelling errors [29]. We have designed an EKF to estimate the variable state of the induction motor.…”

Section: Extended Kalman Filter (Ekf)mentioning

confidence: 99%

Diagnosis of ITSC fault in the electrical vehicle powertrain system through signal processing analysis

Ouamara¹,

Boukhnifer²,

Chaibet³

et al. 2023

Diagnostyka

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The three-phase induction motor is well suited for a wide range of mobile drives, specifically for electric vehicle powertrain. During the entire life cycle of the electric motor, some types of failures can occur, with stator winding failure being the most common. The impact of this failure must be considered from the incipient as it can affect the performance of the motor, especially for electrically powered vehicle application. In this paper, the intern turn short circuit of the stator winding was studied using Fast Fourier transform (FFT) and Shor-Time Fourier transform (STFT) approaches. The residuals current between the estimated currents provided by the extended Kalman filter (EKF) and the actual ones are used for fault diagnosis and identification. Through FFT, the residual spectrum is sensitive to faults and gives the extraction of inter-turn short circuit (ITSC) related frequencies in the phase winding. In addition, the FFT is used to obtain information about when and where the ITSC appears in the phase winding. Indeed, the results allow to know the faulty phase, to estimate the fault rate and the fault occurrence frequency as well as their appearance time.

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Accurate Electrical Fault Detection in the Permanent Magnet Synchronous Generator and in the Diode Bridge Rectifier of a Wind Energy Conversion System

2023

Electrical and Mechanical Fault Diagnosis in Wind Energy Conversion Systems

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Diagnosis of a Permanent Magnet Synchronous Generator using the Extended Kalman Filter and the Fast Fourier Transform

Cited by 13 publications

References 16 publications

MPPT Improvement for PMSG-Based Wind Turbines Using Extended Kalman Filter and Fuzzy Control System

MPPT Improvement for PMSG-Based Wind Turbines Using Extended Kalman Filter and Fuzzy Control System

Diagnosis of ITSC fault in the electrical vehicle powertrain system through signal processing analysis

Accurate Electrical Fault Detection in the Permanent Magnet Synchronous Generator and in the Diode Bridge Rectifier of a Wind Energy Conversion System

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