Adaptive output zero-bias tracking control of 1DOF AMB suspension system

Sergei Basovich, Shai Arogeti, Ziv Brand

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

AMB (Active Magnetic Bearing) technology based multi-degree-of-freedom positioning systems is a very promising solution to many precise motion problems. In some applications, such as the photolithography process, AMB based positioning system can be used to carry tools of unknown geometry and mass. To avoid the positioning stage tracking performance degradation due to unknown payload, adaptive control methods should be used. Although the subject of adaptive control algorithms for the AMB based rotating machinery was widely studied in the past, due to some differences, the available results can not be applied in a straight-forward manner to the precise AMB based positioning systems. This paper contributes to the field of precise AMB based positioning stages by presenting design and implementation of an adaptive control algorithm for a 1DOF (degree-of-freedom) AMB based suspension system. In this study we assume that the payload and electromagnetic coefficient values of the plant are unknown and only the output measurements are available as a feedback. In addition, the control currents computed by the presented algorithm are free of a bias term. The control law in this papers solves the trajectory tracking problem, and its effectiveness was verified experimentally.

Original languageAmerican English
Title of host publication2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014
Pages151-156
Number of pages6
ISBN (Electronic)9781479951994
DOIs
StatePublished - 1 Jan 2014
Event2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014 - Singapore, Singapore
Duration: 10 Dec 201412 Dec 2014

Publication series

Name2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014

Conference

Conference2014 13th International Conference on Control Automation Robotics and Vision, ICARCV 2014
Country/TerritorySingapore
CitySingapore
Period10/12/1412/12/14

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Artificial Intelligence
  • Control and Systems Engineering

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