High-performance sensorless vector control of induction motor drives using artificial intelligent technique

Abstract

This paper presents a sensorless speed observer method of an induction motor using an artificial intelligent technique in direct field-oriented control system. The proposed sensorless vector control system consist of an adaptive observer of rotor flux in order to accurately estimate stator resistance and speed simultaneously, without affecting drive performances. The observer is associated with a direct vector control drive to rotor flux orientation for induction motor and uses the stator voltages and currents as inputs. To improve performance in a wide operating range, and achieve low sensitivity to parameter variations and external influences, the system uses an intelligent adaptive mechanism based on fuzzy logic approach to estimate the speed and a simple PI controller to determinate the stator resistance. The algorithm developed is robust and effective; it also provides accurate estimates, a good trajectory tracking with the different dynamics presented. Numerical experiments are presented to illustrate the feasibility of the proposed technique. Copyright © 2010 John Wiley & Sons, Ltd.