A setting method of initial conditions in particle swarm optimization for positioning of a linear stage

Marino Watanabe, Yukinori Nakamura, Shinji Wakui

Research output: Contribution to conferencePaper

2 Citations (Scopus)

Abstract

This paper considers the auto-tuning of a feedforward controller in order to improve the performance of stage positioning. Particle swarm optimization (PSO) technique is employed for the auto-tuning of the controller. In the proposed method, firstly, the dimensionality of the particle in PSO is reduced. Then, the initial placement of each particle is determined by considering the nominal value of the stage. By using these two approaches, the tuning time can be shortened. After the auto-tuning, the settling time of the positioning is improved. Effectiveness of proposed methods is shown by simulation.

Original languageEnglish
Pages63-68
Number of pages6
DOIs
Publication statusPublished - Jun 16 2015
Externally publishedYes
Event2015 IEEE International Conference on Industrial Technology, ICIT 2015 - Seville, Spain
Duration: Mar 17 2015Mar 19 2015

Other

Other2015 IEEE International Conference on Industrial Technology, ICIT 2015
CountrySpain
CitySeville
Period3/17/153/19/15

ASJC Scopus subject areas

  • Computer Science Applications
  • Electrical and Electronic Engineering

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    Watanabe, M., Nakamura, Y., & Wakui, S. (2015). A setting method of initial conditions in particle swarm optimization for positioning of a linear stage. 63-68. Paper presented at 2015 IEEE International Conference on Industrial Technology, ICIT 2015, Seville, Spain. https://doi.org/10.1109/ICIT.2015.7125077