Offline tuning of positioning control system using particle swarm optimization considering speed controller

This paper describes an optimal offline tuning method for a position controller in a mechanical system using a new evolutionary algorithm called particle swarm optimization (PSO). Generally in industrial machinery, there is increasing demand for autonomous performance for position control systems. I...

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Bibliographic Details
Published in:Electrical engineering in Japan 2008-05, Vol.163 (3), p.68-77
Main Authors: Kaneko, Takayuki, Matsumoto, Hiroyuki, Mine, Hironori, Nishida, Hideyuki, Nakayama, Tomoharu
Format: Article
Language:English
Subjects:
motion control
offline tuning
particle swarm optimization
positioning control
system identification
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Summary:This paper describes an optimal offline tuning method for a position controller in a mechanical system using a new evolutionary algorithm called particle swarm optimization (PSO). Generally in industrial machinery, there is increasing demand for autonomous performance for position control systems. In this paper, two approaches to optimization are taken. First, PSO is used in order to optimize the coefficient of a mathematical model as system identification. Second, the parameters for a controller are directly optimized by evaluating responses using PSO. The proposed approach has superior features, including easy implementation, stable convergence characteristics, and good efficiency. © 2008 Wiley Periodicals, Inc. Electr Eng Jpn, 163(3): 68– 77, 2008; Published online in Wiley InterScience (www.interscience.wiley.com). DOI 10.1002/eej.20668
ISSN:0424-7760
1520-6416
DOI:10.1002/eej.20668