ULTRASONIC MOTOR SERVO-DRIVE WITH ONLINE TRAINED NEURAL-NETWORK MODEL-FOLLOWING CONTROLLER

An ultrasonic motor (USM) servo-drive with an online trained neural-ne twork model-following controller is proposed. First, the driving circu it for the USM, which is a two-phase chopper-inverter combination, is introduced. Since the dynamic characteristics of the USM are difficult to obtain and the motor parameters are time varying, an online traine d neural-network model-following controller is proposed to control the rotor position of the USM. An accurate tracking response can be obtai ned by random initialisation of the weights and biases of the network owing to the powerful online learning capability. Moreover, the influe nces of parameter variations and external disturbances of the USM serv o-drive can be effectively reduced by the neural-network controller.