This paper proposes the use of Artificial Neural Networks(ANNs) to identify and control the NARMAX model of the AC serve motor. Two systems are presented : a system to adaptively control the stator currnets via identification of the electrical dynamic...
This paper proposes the use of Artificial Neural Networks(ANNs) to identify and control the NARMAX model of the AC serve motor. Two systems are presented : a system to adaptively control the stator currnets via identification of the electrical dynamics, and a system to adaptively control the rotor speed via identification of the motor and currnet-fed system dynamics. Various advantages of these control schemes over conventional schemes are cited and the combined speed and current control scheme is compared with the standard vector control scheme.