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Related Experiment Video

Updated: Jul 15, 2026

Operation of the Collaborative Composite Manufacturing (CCM) System
10:09

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Published on: October 1, 2019

Precision coordinated control of multi-axis gantry stages.

T S Giam1, K K Tan, S Huang

  • 1Department of Electrical and Computer Engineering, National University of Singapore, 4, Engineering Drive 3, 117576 Singapore, Singapore.

ISA Transactions
|April 17, 2007
PubMed
Summary

This study introduces an advanced sliding mode control for gantry stages, enhancing precision in manufacturing. The robust control scheme ensures coordinated multi-axis movement, improving tracking accuracy for critical industrial applications.

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Area of Science:

  • Engineering
  • Control Systems
  • Manufacturing Technology

Background:

  • Gantry stages are vital in manufacturing for precise positioning.
  • Existing control schemes face challenges in achieving high-precision coordinated motion.

Purpose of the Study:

  • To survey existing control schemes for gantry stages.
  • To develop and propose an enhanced robust control scheme for coordinated motion control.
  • To correct tracking errors and ensure tandem movement of multiple axes.

Main Methods:

  • Survey of current control strategies for gantry stages.
  • Development of a novel robust control scheme utilizing sliding mode feedback.
  • Coordination of multiple axes for synchronized movement.
  • Simulation and experimental validation of the proposed control scheme.

Main Results:

  • The proposed sliding mode control scheme effectively corrects tracking errors.
  • Enhanced coordination of multiple axes for tandem gantry stage movement was achieved.
  • The robust control scheme demonstrated superior performance compared to existing methods.

Conclusions:

  • The developed robust sliding mode control scheme significantly improves the precision of gantry stage motion control.
  • This enhanced scheme is suitable for demanding manufacturing applications requiring accurate positioning and coordinated movement.
  • Simulation and experimental results validate the effectiveness and robustness of the proposed control strategy.