Control strategies for an inchworm piezomotor

Author

Mrad, R. Ben ; Abhari, A. ; Zu, J.

Author_Institution

Dept. of Mech. & Ind. Eng., Toronto Univ., Canada

fYear

2003

fDate

29-31 July 2003

Firstpage

205

Lastpage

210

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

electric machine analysis computing; intelligent control; machine control; neurocontrollers; piezoelectric motors; three-term control; PID controller; computer model; control strategies; controller; hardware complexity; hybrid control method; inchworm type precision piezomotor; motor design; neural network; rule based scheme; simulating; tracking performance; Character generation; Clamps; Computational modeling; Computer simulation; Industrial engineering; Micromotors; Neural network hardware; Neural networks; Three-term control; Voltage control;

fLanguage

English

Publisher

ieee

Conference_Titel

Computational Intelligence for Measurement Systems and Applications, 2003. CIMSA '03. 2003 IEEE International Symposium on

Print_ISBN

0-7803-7783-4

Type

conf

DOI

10.1109/CIMSA.2003.1227228

Filename

1227228