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<p>The most frequently used control methodology in variable-speed wind energy generation is Magnetic Field Orientation Control (vector control), this approach, relies on conventional Proportional-Integral (PI) controllers, has been widely employed for many years. Several studies have shown that this type of controller has certain limitations and is less effective under variable operating conditions. This paper focuses on the implementation of Generalized Predictive Control (GPC), aiming both to implement the principle of Magnetic Field Orientation Control (FOC) for the generator and to enhance the performance of the current loop injected into the grid. To confirm the effectiveness of the proposed predictive control, the control performance of three strategies-PI, Sliding Mode Control (SMC), and Generalized Predictive Control (GPC)-applied both on the machine side and the grid side, will be compared and discussed. The elimination of mechanical sensors is achieved through the use of state observers, which estimate mechanical quantities using less expensive sensors. In this work, wind speed is assumed to be available, and the sensorless approach concerns the rotor speed. The observer is based on a Kalman filter to perform sensorless control of the machine. Simulation results demonstrate the validity and efficiency of the proposed predictive control under rapidly changing wind speeds and the robustness of the proposed observer is also investigated against machine parameter variations.</p>

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Sensorless Predictive Control of Permanent Magnet Synchronous Generator Based Wind Energy System

  • 期刊论文

  • 发表日期：

    2026年6月22日

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  • Chahrazad Ogab,
  • Tayeb Allaoui

摘要

The most frequently used control methodology in variable-speed wind energy generation is Magnetic Field Orientation Control (vector control), this approach, relies on conventional Proportional-Integral (PI) controllers, has been widely employed for many years. Several studies have shown that this type of controller has certain limitations and is less effective under variable operating conditions. This paper focuses on the implementation of Generalized Predictive Control (GPC), aiming both to implement the principle of Magnetic Field Orientation Control (FOC) for the generator and to enhance the performance of the current loop injected into the grid. To confirm the effectiveness of the proposed predictive control, the control performance of three strategies-PI, Sliding Mode Control (SMC), and Generalized Predictive Control (GPC)-applied both on the machine side and the grid side, will be compared and discussed. The elimination of mechanical sensors is achieved through the use of state observers, which estimate mechanical quantities using less expensive sensors. In this work, wind speed is assumed to be available, and the sensorless approach concerns the rotor speed. The observer is based on a Kalman filter to perform sensorless control of the machine. Simulation results demonstrate the validity and efficiency of the proposed predictive control under rapidly changing wind speeds and the robustness of the proposed observer is also investigated against machine parameter variations.