KEYWORDS: Servomechanisms, Design and modelling, Analog electronics, Digital signal processing, Signal processing, Optical discs, Tunable filters, Optical storage, Field programmable gate arrays, Digital filtering
With the rapid deployment of 5G communication facilities, cloud computing, artificial intelligence, etc., the amount of data is growing explosively. According to International Data Corporation(IDC), the total amount of data in 2018 is 32ZB, and it is expected to reach 175ZB by 2025, of which 10%~15% is cold data. Cold data features as infrequent access and rare modification, but great longevity. Taking the cost of storing cold data into consideration, optical storage, especially, the write once read many recording media(WORM) become one of the most appropriate candidates for this scenario. To accelerate developing drive techs for new generation WORM, we choose the heterogeneous platform, upon which FPGA and DSP are resided, to develop servo and RF channels, in order to provide agility and flexibility in both modeling and tuning.
In the era of Big Data, Cold data devours a large amount of storage volume and consumes power that cannot be ignored. Optical storage, as one of the cold data storage solutions, featuring with better unit bit cost, excellent reliability, and less power consumption, comes back to the spot of storge arena. To realize its potential, the actuators implementing high precision focusing and tracking in optical disk drives should be proved capable for high density recording. The traditional actuator performance testing is carried out by laser Doppler vibrometers (LDV), which not suitable for online inspection. Therefore, we propose a convenient and low-cost method for actuator dynamic performance testing for online inspection. By exciting coils and then analyzing certain signals from PDICs we can determine the dynamic characteristics of the actuator under testing, both in manufacturing and/or daily operating.
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