Presentation + Paper
20 August 2015 Research on input shaping algorithm for rapid positioning of ultra-precision dual-stage
Fazhi Song, Yan Wang, Xinglin Chen, Ping He
Author Affiliations +
Abstract
As a high-precision servo motion platform, the dual-stage lithographic system uses lots of long-stroke air-bearing linear motors to achieve rapid positioning. Residual vibration, resulting from direct drive, almost zero damping, parallel decoupling structure and high velocity, leads to too long settling time and is one of the key factors in slowing the speed of positioning. To suppress the residual vibration and realize the high positioning precision in shorter settling time, this paper designs feedforward controller with input shaping algorithm for the rotary motor. Traditional input shaper is sensitive to system models and it is very difficult to get the parameters. A parameter self-learning method based on PSO(Particle Swarm Optimization) is proposed in this paper. The simulation of the system is performed by MATLAB/Simulation. The experimental results indicate that the input shaping algorithm proposed in this paper brings about significant reduction in the positioning time of the dual-stage.
Conference Presentation
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fazhi Song, Yan Wang, Xinglin Chen, and Ping He "Research on input shaping algorithm for rapid positioning of ultra-precision dual-stage", Proc. SPIE 9556, Nanoengineering: Fabrication, Properties, Optics, and Devices XII, 95560P (20 August 2015); https://doi.org/10.1117/12.2186912
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Particle swarm optimization

Particles

Systems modeling

Control systems

Lithography

Simulink

Optimization (mathematics)

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