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 critics 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
