Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
권호 표지
DOI QR코드

DOI QR Code

Calibration of an Optical Pick-up Performance Evaluator

광 픽업 성능 평가기 캘리브레이션

  • Ryoo, Jung Rae (Department of Electrical and Information Engineering, Seoul National University of Science and Technology) ;
  • Doh, Tae-Yong (Department of Electronics and Control Engineering, Hanbat National University)
  • 류정래 (서울과학기술대학교 전기정보공학과) ;
  • 도태용 (한밭대학교 전자.제어공학과)
  • Received : 2014.01.10
  • Accepted : 2014.01.28
  • Published : 2014.05.01
Download PDF
⟨ Previous Next ⟩

Abstract

Optical pick-up is a core component for data read/write operations in optical disc drives, and an optical pick-up performance evaluator is an instrument used to analyze the overall performance of an optical pick-up. Due to inevitable errors in an analog measurement circuit, resultant evaluation data is not guaranteed to be accurate. In this paper, a calibration method for an optical pick-up performance evaluator is proposed to ensure evaluation accuracy. Measured data is corrected by a 1st order correction function, and a calibration process based on least-square method is utilized to obtain correction coefficients of the correction function. The proposed calibration method is applied to experiments, and enhanced accuracy is presented with resultant evaluation data.

Keywords

References

  1. T. H. Akkermans and S. G. Stan, "Digital servo IC for optical disc drives," Control Engineering Practice, vol. 9, no. 11, pp. 1245-1253, Nov. 2001. https://doi.org/10.1016/S0967-0661(01)00070-3
  2. J. R. Ryoo, J.-H. Moon, and J. Cho, "Optical axis autoadjustment of objective lens in optical disc drives," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 14, no. 6, pp. 558-563, Jun. 2008. https://doi.org/10.5302/J.ICROS.2008.14.6.558
  3. F. M. Mirzaei and S. I. Roumeliotis, "A Kalman filter-based algorithm for IMU-camera calibration: observability analysis and performance Evaluation," IEEE Transactions on Robotics, vol. 24, no. 5, pp. 1143-1156, Oct. 2008. https://doi.org/10.1109/TRO.2008.2004486
  4. T. Beravs, J. Podobnik, and M. Munih, "Three-axial accelerometer calibration using Kalman filter covariance matrix for online estimation of optimal sensor orientation," IEEE Transactions on Instrumentation and Measurement, vol. 61, no. 9, pp. 2501-2511, Sep. 2012. https://doi.org/10.1109/TIM.2012.2187360
  5. Y. Chiu, C. W. Tsang, B. Nikolic, and P. R. Gray, "Least mean square adaptive digital background calibration of pipelined analog-to-digital converters," IEEE Transactions on Circuit and Systems, vol. 51, no. 1, pp. 38-46, Jan. 2004. https://doi.org/10.1109/TCSI.2003.821306
  6. J. Kim and C. S. Park, "A calibration technique for multibit stage pipelined A/D converters via least-squares method," IEEE Transactions on Instrumentation and Measurement, vol. 62, no. 12, pp. 3390-3392, Dec. 2013. https://doi.org/10.1109/TIM.2013.2282184
  7. H.-J. Kwak, J.-M. Hwang, J.-H. Kim, and G.-T. Park, "Development and application of three-axis motion rate table for efficient calibration of accelerometer and gyroscope," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 18, no. 7, pp. 632-637, Jul. 2012. https://doi.org/10.5302/J.ICROS.2012.18.7.632
  8. Y.-K. Kim, J.-H. Park, H.-K. Kwak, S.-H. Park, C.-W. Lee, and J.-M. Lee, "Performance improvement of a pedestrian dead reckoning system using a low cost IMU," Journal of Institute of Control, Robotics and Systems (in Korean), vol. 19, no. 6, pp. 569-575, Jun. 2013. https://doi.org/10.5302/J.ICROS.2013.12.1767
  9. G. Antonelli, S. Chiaverini, and G. Fusco, "A calibration method for odometry of mobile robots based on the least-squares technique: theory and experimental validation," IEEE Transactions on Robotics, vol. 21, no. 5, pp. 994-1004, Oct. 2005. https://doi.org/10.1109/TRO.2005.851382
  10. S. C. Chapra and R. P. Canale, Numerical Methods for Engineers (in Korean), McGraw-Hill Korea, 2006.

Cited by

  1. Optimal Depth Calibration for KinectTM Sensors via an Experimental Design Method vol.21, pp.11, 2015, https://doi.org/10.5302/J.ICROS.2015.15.0130