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|Title: ||Optimised sensor configurations for a MAGLEV suspension system|
|Authors: ||Michail, Konstantinos|
Zolotas, Argyrios C.
Goodall, Roger M.
|Keywords: ||Sensor optimisation|
|Issue Date: ||2008|
|Publisher: ||© University of Niš|
|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.|
|Abstract: ||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 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.|
|Description: ||This article was published in the journal, Facta Universitatis Series: Mechanics, Automatic Control
and Robotics [© University of Niš]. The original publication is available at:
|Version: ||Accepted for publication|
|Appears in Collections:||Published Articles (Mechanical, Electrical and Manufacturing Engineering)|
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