Fractional order system identification of Maglev model from real-time data

This paper deals with real-time identification of magnetic levitation model. For this motive, two methodologies are adopted namely, integer order identification and a new concept of fractional order system identification that has been incorporated for the first time in this particular model. A comparison of the two is shown in which the latter fares better. It is worth mentioning that all identifications have been performed on real time, unlike most identifications which are done only on simulation basis. The main contribution of this work has been basically the applying of fractional calculus in system identification, a concept less explored but with remarkable results.