@inproceedings{ddc3c9798c90460aa0ac0b556dda96a4,
title = "Control strategies for an inchworm piezomotor",
abstract = "This paper describes two control methodologies developed for an inchworm type precision piezomotor. The paper presents a motor designed based on the classical inchworm principle. A hybrid control method that consists of a traditional PID controller and a rule-based scheme is developed and it is shown to offer good performance based on simulating the computer model of the inchworm motor. A neural network based controller is also presented and is shown to reduce the hardware complexity of the overall system and to lead to excellent tracking performance.",
keywords = "Character generation, Clamps, Computational modeling, Computer simulation, Industrial engineering, Micromotors, Neural network hardware, Neural networks, Three-term control, Voltage control",
author = "Mrad, {R. B.} and A. Abhari and J. Zu",
note = "Publisher Copyright: {\textcopyright} 2003 IEEE.; 2003 IEEE International Symposium on Computational Intelligence for Measurement Systems and Applications, CIMSA 2003 ; Conference date: 29-07-2003 Through 31-07-2003",
year = "2003",
doi = "10.1109/CIMSA.2003.1227228",
language = "English",
series = "IEEE International Conference on Computational Intelligence for Measurement Systems and Applications Proceedings",
pages = "205--210",
booktitle = "CIMSA 2003 - 2003 IEEE International Symposium on Computational Intelligence for Measurement Systems and Applications",
}