Abstract
Magnetic levitation (Maglev) train’s position and speed detection system facilitates the control of the Maglev train. Yet nearly all previous schemes are unsuitable for the high temperature superconducting (HTS) Maglev train. New sensors and signal sources are expected to improve the system. Here the tunnel magneto resistance (TMR) sensor and the magnetic arrays are used to realize the speed and position detection and the improved automatic multiscale-based peak detection (AMPD) algorithm is applied. Furthermore, the algorithm’s adaptability to various operating conditions is verified and the system can be applied in different working conditions. Finally, a preliminary experimental test is carried out. Such a system, accompanied by the equipment and the algorithm, offers results of accuracies of 95%–97% for speed measurement and 1 cm–3 cm for positioning, providing an avenue to improve the performance of HTS Maglev train’s operating control system.
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