This paper presents design and evaluation of a novel approach based on emotional learning to improve the
speed control system of stator 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 em otional 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 controller for the high
performance industrial drive applications.
کلید واژگان :
Induction motor; Speed control; Emotional Learning; intelligent controller; PI controller
