Paper
6 March 2015 An improved PSO algorithm and its application on model identification of coarse-stage in lithography machine
Yang Liu, Fazhi Liu, Kai Wei, Zhenxian Fu
Author Affiliations +
Proceedings Volume 9446, Ninth International Symposium on Precision Engineering Measurement and Instrumentation; 94464U (2015) https://doi.org/10.1117/12.2182382
Event: International Symposium on Precision Engineering Measurement and Instrumentation, 2014, Changsha/Zhangjiajie, China
Abstract
Lithography machine is a high-precision manufacturing equipment of electromechanical integration, involving precision machinery, precision control and measure, precision measurement and other subjects. PSO algorithm is easy to fall into local optimum, which has simple concepts and fast convergence. This paper proposes an improved PSO algorithm with adaptive parameters and boundary constraint, in ensuring accuracy of the algorithm optimization and fast convergence. Simulation results show that the methods have good applicability and stability for coarse-stage in lithpgraphy machine.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Yang Liu, Fazhi Liu, Kai Wei, and Zhenxian Fu "An improved PSO algorithm and its application on model identification of coarse-stage in lithography machine", Proc. SPIE 9446, Ninth International Symposium on Precision Engineering Measurement and Instrumentation, 94464U (6 March 2015); https://doi.org/10.1117/12.2182382
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KEYWORDS
Lithography

Particle swarm optimization

Control systems

Motion models

Optimization (mathematics)

Genetics

Precision measurement

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