A New Online Efficiency Optimization Field Oriented Control For Induction Motors Based On Fuzzy Logic Technique

This paper presents a new Fuzzy Logic approach for optimization field oriented control for induction motor to reduce power losses. Among the many loss minimization algorithms (LMA) for an induction motor, a loss modelbased approach
has the advantages of fast response and high accuracy.
However, the performance of the loss model controller (LMC) depends on the accuracy of the modeling of the motor drive and losses. The paper describes a fuzzy
logic based on-line efficiency optimization field oriented control for induction motors. At steady-state light-load condition, a fuzzy controller adaptively decrements the
excitation current on the basis of measured input power such that, for a given load torque and speed, the drive settles down to the minimum input power, i.e., operates at maximum efficiency. If the load torque or speed commands changes, the efficiency search algorithm is abandoned and the rated flux is established to get the best transient response. The drive system with the proposed efficiency optimization
controller has been simulated with loss models of converter and machine, and its performance has been thoroughly investigated. Matlab/ Simulink is used for the simulation of the proposed. The simulation and results are demonstrated
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