Intelligent technique-based efficiency-improved vector control of induction motor drives

摘要

It is well known that the efficiency of induction motors, when the rated conditions are not satisfied, is significantly reduced. Therefore, it is necessary to adjust the rotor flux level to an optimal value as a function of the operating conditions, so as to compensate iron and copper losses. The aim of this work is to apply two intelligent techniques for efficiency improvement: neural networks (ANN) and fuzzy logic (FL), which are compared to a losses model-based control (LMC). Using these techniques, the motor efficiency has been significantly improved. We could show also that the strategies based on the artificial intelligence are simple and do not require the knowledge of the parameters of the induction motor in comparison with the LMC.