Abstract
This paper presents design and implementation of a sensorless speed control with DTFC (Direct Torque and Flux Control) strategy for induction motor. The DTFC in its conventional form uses algorithms to select the components of the voltage inverter. This paper proposes to replace the conventional selector switches statements of the voltage inverter by a selector based on neural networks ANN (Artificial Neural Network), which is able to manage in the same way the switches states, without resorting to complex programming. The speed loop regulation is carried out by a fuzzy controller giving exceeding performance in comparison with a classic PI regulator. The design of the controller is based on the experience without knowing the mathematical model of the Motor. Experimental results for a 3kW induction motor are presented and analyzed using a dSPACE system with DS1104 controller board based on digital processor Texas Instruments TMS320F240 DSP.
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