Speed control of ultrasonic motors using fuzzy neural network

Article type: Research Article

Authors: Senjyu, Tomonobu | Yokoda, Satoru | Uezato, Katsumi

Affiliations: Department of Electrical and Electronic Engineering, Faculty of Engineering, University of the Ryukyus, 1 Senbaru Nishihara-cho, Nakagami, Okinawa 903-0213, Japan. Tel.: +81 98 895 8686; Fax: +81 98 895 8708; E-mail: b985542@tec.u-ryukyu.ac.jp

Abstract: This paper presents a speed control system for ultrasonic motors by PI (proportional and integral) control which has auto-tuning structure based on fuzzy reasoning realized by a neural network. Since the speed characteristics of ultrasonic motor vary with temperature and applied load torque, adjusting the control gains of PI controller is necessary in order to obtain fine speed control performance. The proposed control scheme can incorporate the operator's knowledge in speed controller using fuzzy reasoning, furthermore, it can compensate the speed characteristic variations of the motor by online learning. The usefulness and validity of the proposed control scheme is examined by experiments.

Journal: Journal of Intelligent and Fuzzy Systems, vol. 8, no. 2, pp. 135-146, 2000