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contributor authorJian, Zheng-Wei
contributor authorZhang, Ting-Hua
contributor authorTsai, Meng-Shiun
contributor authorTsai, Hsin-Yi
date accessioned2026-08-23T07:48:55Z
date available2026-08-23T07:48:55Z
date copyright2026/04/01
date issued2026
identifier issn1555-1415
identifier othercnd-25-1219.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4315646
description abstractAbstract. This study presents an innovative transmission model to investigate the nonlinear dynamic interaction between friction and elastic deformation in a feed drive system. The model consists of two equivalent masses, dual LuGre friction models, and a spring element to represent the elastic characteristics between the two masses. The ball screw drive system comprising a motor, screw, and table is divided into two subsystems: the motor-screw and the screw-table. Each subsystem is modeled using an equivalent mass and a LuGre friction model, while the elastic coupling between the two masses is represented by a linear spring. The LuGre model is employed to simulate the nonlinear behavior at the contact surfaces, and backlash is represented as the elastic deformation of the spring within the feed drive system. The contact mechanism between the two masses is divided into five stages, enabling a deeper understanding of the dynamic characteristics during velocity reversal. Model parameters are identified experimentally. A servocontrol loop is incorporated to evaluate tracking errors caused by friction and backlash. Comparisons between simulation and experimental results show that the proposed model achieves a maximum error of approximately 3.7%. Furthermore, the model offers physical insight into the tracking errors induced by friction and backlash.
publisherThe American Society of Mechanical Engineers (ASME)
titleServo Simulation System Using Two-Mass Dual LuGre Friction Model
typeJournal Paper
journal volume21
journal issue4
journal titleJournal of Computational and Nonlinear Dynamics
identifier doi10.1115/1.4070607
journal fristpage241
journal lastpage250
page10
treeJournal of Computational and Nonlinear Dynamics:;2026:;volume( 021 ):;issue:004
contenttypeFulltext


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