Proceedings of JSME-IIP/ASME-ISPS Joint Conference on Micromechatronics for Information and Precision Equipment : IIP/ISPS joint MIPE
Online ISSN : 2424-3132
2015
Session ID : TuC-1-4
Conference information
TuC-1-4 NOISE REDUCTION METHOD USING EXTENDED KALMAN FILTER FOR TILT SERVO CONTROL IN HOLOGRAPHIC DATA STORAGE SYSTEM
Jang Hyun KimHyunseok Yang
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Abstract
Data storage related with writing and retrieving requires high storage capacity, fast transfer rate and shorter access time. Today there are no data storage systems which can satisfy these conditions, however a holographic data storage system can perform. A faster data transfer rate because it is a paper oriented memory system using a volume hologram in writing and retrieving data. Moreover, Holographic data storage system need title and servo control stably. We propose noise reduction by Extended Kalman Filter(EKF) method to tilt servo control in holographic data storage system. Firstly, introduce our holographic data storage system, and then, explain Extened Kalman Filter(EFK) in holographic data storage system, and then, you can see simulations and experiments, finally, explain conclusions in our holographic data storage system.
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© 2015 The Japan Society of Mechanical Engineers
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