In this article, a novel high-efficient control based on brain emotional learning for a brushless doubly-fed induction machine (BDFIM) drive is proposed without requiring a detailed machine model. The step change of the control winding (CW) flux for a given torque and speed is the basis of the proposed controller. The control algorithm detects a steady-state condition by monitoring the speed continuously and then adjusts the CW reference flux’s magnitude to determine the minimum total stator current. The stator current is the sum of the current magnitudes at power and control windings of a BDFIM. This model-free intelligent controller has a simple structure and is independent of the machine parameters and robust to disturbances. The proposed control scheme is assessed by a TMS320F2833 microcontroller synchronized with a personal computer for a 3-kW prototype D132s-BDFIM.

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