Optimised sensor configurations for a MAGLEV suspension system

This 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...

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Bibliographic Details
Main Authors: Konstantinos Michail, Argyrios C. Zolotas, Roger Goodall
Format: Default Article
Published: 2008
Subjects:
Mechanical engineering not elsewhere classified
Sensor optimisation
MAGLEV suspensions
EMS optimisation
Genetic algorithms
Kalman filter
Evolutionary algorithms
Mechanical Engineering not elsewhere classified
Online Access:https://hdl.handle.net/2134/5258
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