Sensorless Rotor Position Detection of Doubly-Fed Induction Generators for Wind Energy Applications

This paper proposes a Simplified Finite-Set Model Predictive Power Controller (MPPC) to improve the performance of the Doubly-Fed Induction Generator (DFIG). The MPPC is implemented to regulate the stator active and reactive powers of DFIG, minimizing the error between them and their references, with an optimized null vector selection and a reduced number of active vectors, to decrease the computational burden. This reduction is applied in a two-level converter, reducing the test to 4 or 2 active vectors. Simulations and laboratory experiments were performed, showing results for a 0.56 kW DFIG. Finally, it was verified that the proposed system can maintain the stator powers at a reference.

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“…The grid-side converter control is based on [29] and [37]. The speed and rotor position estimations is based on [31].…”

Section: Simulation Resultsmentioning

confidence: 99%

Finite-Set Model Predictive Direct Power Control for DFIG with Reduced Number of Voltage Vectors

Guedes¹,

Rocha²,

Maciel³

et al. 2023

Eletrônica de Potência

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“…It is an optimal state observer in the sense of minimizing the error variance between a real variable and it's estimated. The Kalman filter is based on a stochastic linear state model [4,20,21].…”

Section: Observation By Kalman Filtermentioning

confidence: 99%

Sensorless Digital Control of a Permanent Magnet Synchronous Motor

Ogab¹,

Hassaine²,

Sbaa³

et al. 2021

JESA

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This article proposes a digital control strategy of the RST type combined with a PI regulator of a synchronous servomotor with permanent magnets supplied by a voltage inverter controlled by the vector PWM technique whose robustness of the regulators is studied by the µ-analysis technique, and the estimation of the mechanical quantities is carried out using an observer by the Kalman filter. This study presents a detailed theoretical analysis and the simulation and experimentation results obtained clearly show the effectiveness of the proposed control strategy.

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“…In the literature, several sensorless methods have been proposed. The different sensorless controls can be collected into the follows categories: open-loop estimation methods, closed-loop estimation methods [12,13], Kalman filter [14], high-frequency signal injections [15,16], Model Reference Adaptive System (MRAS) observers [17,18] with full or reduced order approaches [19][20][21], and other sensorless methods.…”

Section: Introductionmentioning

confidence: 99%

Performance Analysis of a Full Order Sensorless Control Adaptive Observer for Doubly-Fed Induction Generator in Grid Connected Operation

2021

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This paper focuses on the performance analysis of a sensorless control for a Doubly Fed Induction Generator (DFIG) in grid-connected operation for turbine-based wind generation systems. With reference to a conventional stator flux based Field Oriented Control (FOC), a full-order adaptive observer is implemented and a criterion to calculate the observer gain matrix is provided. The observer provides the estimated stator flux and an estimation of the rotor position is also obtained through the measurements of stator and rotor phase currents. Due to parameter inaccuracy, the rotor position estimation is affected by an error. As a novelty of the discussed approach, the rotor position estimation error is considered as an additional machine parameter, and an error tracking procedure is envisioned in order to track the DFIG rotor position with better accuracy. In particular, an adaptive law based on the Lyapunov theory is implemented for the tracking of the rotor position estimation error, and a current injection strategy is developed in order to ensure the necessary tracking sensitivity around zero rotor voltages. The roughly evaluated rotor position can be corrected by means of the tracked rotor position estimation error, so that the corrected rotor position is sent to the FOC for the necessary rotating coordinate transformation. An extensive experimental analysis is carried out on an 11 kW, 4 poles, 400 V/50 Hz induction machine testifying the quality of the sensorless control.

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Sensorless Rotor Position Detection of Doubly-Fed Induction Generators for Wind Energy Applications

Cited by 8 publications

References 15 publications

Finite-Set Model Predictive Direct Power Control for DFIG with Reduced Number of Voltage Vectors

Finite-Set Model Predictive Direct Power Control for DFIG with Reduced Number of Voltage Vectors

Sensorless Digital Control of a Permanent Magnet Synchronous Motor

Performance Analysis of a Full Order Sensorless Control Adaptive Observer for Doubly-Fed Induction Generator in Grid Connected Operation

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