Conference Paper Approximate Dual Controller by Information Matrix Maximization for Self-Sensing Electromagnetic Suspension System

Matsuda, Kohei  ,  Sakamoto, Tetsuzo

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This paper presents a design methodology to apply the approximate dual controller using the information matrix maximization for self-sensing electromagnetic suspension systems, in which the gap estimate is given based on the speed electromotive force. The system is an unstable non-minimum phase system, and we employ the dual control system. Simulations are presented to show that the dual control system follows with the reference while the electromagnet is excited to establish its quality identification for self-sensing electromagnetic levitation system.
The 10th International Symposium on Linear Drives for Industry Applications (LDIA 2015), Aachen, Germany, on July 27-29 2015
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