optimised sensor configurations for a maglev suspension system.pdf (518.27 kB)
Optimised sensor configurations for a MAGLEV suspension system
journal contribution
posted on 2009-09-03, 16:17 authored by Konstantinos Michail, Argyrios C. Zolotas, Roger GoodallThis paper discusses a systematic approach for selecting the minimum
number of sensors for an Electromagnetic suspension system that satisfies both
optimised deterministic and stochastic performance objectives. The performance is
optimised by tuning the controller using evolutionary algorithms. Two controller
strategies are discussed, an inner loop classical solution for illustrating the efficacy of
the evolutionary algorithm and a Linear Quadratic Gaussian (LQG) structure
particularly on sensor optimisation.
History
School
- Mechanical, Electrical and Manufacturing Engineering
Citation
MICHAIL, K., ZOLOTAS, A.C. and GOODALL, R.M., 2008. Optimised sensor configurations for a MAGLEV suspension system. Facta Universitatis Series: Mechanics, Automatic Control and Robotics, 7 (1), pp.169-184.Publisher
© University of NišVersion
- AM (Accepted Manuscript)
Publication date
2008Notes
This article was published in the journal, Facta Universitatis Series: Mechanics, Automatic Control and Robotics [© University of Niš]. The original publication is available at: http://facta.junis.ni.ac.rs/macar/macar200801/macar200801-13.htmlISBN
0354–2009Language
- en