MICHAIL, K., ZOLOTAS, A.C. and GOODALL, R.M., 2008. Optimised sensor configurations for a Maglev suspension. IN: 17th IFAC World Congress, July 6-11, Seoul, Korea
This paper discusses a systematic approach for selecting the minimum number of
sensors for an Electromagnetic levitation system that satisfies both deterministic and stochastic
performance objectives. The controller tuning is based upon the utilisation of a recently
developed genetic algorithm, namely NSGAII. Two controller structures are discussed, an inner
loop classical solution for illustrating the efficacy of the NSGAII tuning and a Linear quadratic
gaussian structure particularly on sensor optimization.
This is a conference paper. This is the author’s version of a work that was accepted for publication in the 17th IFAC World Congress 2008.