A fuzzy adjustable controller for an antibacklash twin worm index mechanism

Abstract

Nonlinear friction substantially affects the positioning accuracy of a machine, especially in torque controlled antibacklash twin worm index mechanism. A fuzzy controller is designed to achieve better positioning accuracy and robustness by using system parameters obtained from identification. Experimental results show that repeatability is improved as compared to the PDF controller.