EMOTIONAL LEARNING BASED INTELLIGENT CONTROLLERS FOR ROTOR FLUX ORIENTED CONTROL OF INDUCTION MOTOR

Rohollah Abdollahi – Reza Farhangi – Ali Yarahmadi

   This paper presents design and evaluation of a novel approach based on emotional learning to improve the speed control system of rotor flux oriented control of induction motor. The controller includes a neuro-fuzzy system with speed error and its derivative as inputs. A fuzzy critic evaluates the present situation, and provides the emotional signal (stress). The controller modifies its characteristics so that the critic’s stress is reduced. The comparative simulation results show that the proposed controller is more robust and hence found to be a suitable replacement of the conventional PI con¬troller for the high performance industrial drive applications.

Keywords: induction motor, speed control, emotional learning, intelligent controller, PI controller

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