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Subject of this work is a maximum power point tracking technique for high-performance wind generator with induction machine based on the growing neural gas (GNG) network and the minor component analysis (MCA) EXIN + neuron. The main idea is to create a fully sensors-less system, meaning a system neither with the wind speed sensors nor the machine speed sensor. The GNG network has been used, trained...
This paper presents a MPPT technique for high performance wind generator with induction machine based on the growing neural gas (GNG) network. Here a GNG network has been trained off-line to learn the turbine characteristic surface torque versus wind speed and machine speed, and implemented on-line to obtain the wind tangential speed on the basis of the estimated torque and measured machine speed...
Vector Field Oriented Control (FOC) is one of the best control methods for high-dynamic electrical drives. To avoid the adoption of the speed/position sensor (resolver/encoder), a sensorless technique should be used. Among the various sensorless methods in literature, those based on machine saliency detection by signal injection seem to be most useful for their giving the possibility of closing the...
This paper presents a high performance wind generator with induction machine. A back-to-back configuration with two voltage source converters has been considered, one on the machine side and the other on the grid side. Each converter has been controlled with a high performance vector control technique, respectively Field Oriented Control (FOC) and Voltage Oriented Control (VOC). A test setup has been...
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