Model reference adaptive fuzzy controller and fuzzy estimator for high performance induction motor drives

This paper presents the adaptive speed controller and rotor resistance estimator based on the fuzzy logic approach for a high-performance indirect vector-controlled induction motor drive. In the proposed system, fuzzy logic principle is first utilized for the control of rotor flux and speed. A model-reference adaptive scheme is then proposed in which the adaptation mechanism is executed using fuzzy logic. In order to achieve the decoupling control of flux and torque, a fuzzy logic rotor resistance estimator is designed. Key information used for this estimator is a function of stator frequency, stator currents and derivation of rotor flux. The error between its estimated value and actual value as well as error derivation are employed as fuzzy estimator's inputs. The performance of proposed fuzzy logic control system is evaluated by computer simulation for various operating conditions using the parameters of a laboratory 2.2 kVA induction motor drive. The implementation of this control system is considered and discussed.