Title :
Control strategies for an inchworm piezomotor
Author :
Mrad, R. Ben ; Abhari, A. ; Zu, J.
Author_Institution :
Dept. of Mech. & Ind. Eng., Toronto Univ., Canada
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;
Conference_Titel :
Computational Intelligence for Measurement Systems and Applications, 2003. CIMSA '03. 2003 IEEE International Symposium on
Print_ISBN :
0-7803-7783-4
DOI :
10.1109/CIMSA.2003.1227228
