Abstract
Precise servo control systems require strong disturbance rejection capabilities for accurate positioning in the nanometer scale world today. In this paper, we propose an add-on DDO (disturbance decoupling observer) and DDOS (DO with extraneous sensor) for stronger disturbance suppression. Our proposed control methodology uses a nominal plant model and its inverse to reject input and output disturbances simultaneously in sampled-data systems. The plant inverse controller is approximated by tuning a single parameter ɛ. Experimental results on a PZT actuated servo system with air flow of mean speed of 50 m/s corresponding to 15,000 rpm in today’s high end hard disk drives show an improvement of 69.2% of 3σ PES (position error signal) during track-following.
Similar content being viewed by others
References
Åström KJ, Hagander P, Sternby J (1984) Zeros of sampled systems. Automatica 20(1):31–38
Chen BM, Lee TH, Hang CC, Guo Y, Weerasooriya S (1999) An H ∞ almost disturbance decoupling robust controller design for a piezoelectric bimorph actuator with hysteresis. IEEE Trans Contr Syst Technol 7(2):160–174
Du C, Zhang J, Guo G (2002) Vibration analysis and control design comparison of fluid bearing and ball bearing HDDs. In: Proceedings of 2002 American Control Conference, Anchorage, May 8–10, pp 1380–1385
Duan C (2005) Robust periodic disturbance compensation via multirate control. M. Eng. Thesis, National University of Singapore
Goodwin GC (2000) Predicting the performance of soft sensors as a route to low cost automation. Ann Rev Control 24:55–56
Kokotović PV, Khalil HK, O’Reilly J (1986) Singular perturbation methods in control: analysis and design. Academic, London
Lewis FL, Jagannathan S, Yeşildirek A (1999) Neural network control of robot manipulators and nonlinear systems. Taylor and Francis, London
Lin Z, Chen BM (2000) Solutions to general H ∞ almost disturbance decoupling problem with measurement feedback and internal stability for discrete-time systems. Automatica 36(8):1103–1122
Mohtadi C (1980) Bode’s integral theorem for discrete-time systems. IEEE Proc 137-D(2):57–66
Ohnishi K (1987) A new servo method in mechatronics. Trans Jpn Soc Elect Eng 107-D:83–86
Pang CK, Wong WE, Guo G, Chen BM, Lee TH (2005a) NRRO rejection using online iterative control for high density storage. IEEE Trans Magn (submitted)
Pang CK, Wu D, Guo G, Chong TC, Wang Y (2005b) Suppressing sensitivity hump in HDD dual-stage servo systems. Microsyst Technol 11(8–10):653–662
Pang CK, Guo G, Chen BM, Lee TH (2006) Self-sensing actuation for nanopositioning and active-mode damping in dual-stage HDDs. IEEE/ASME Trans Mechatron 11(3):328–338
Saberi A, Chen BM, Sannuti P (1993) Loop transfer recovery: analysis and design. Springer, London
Tomizuka M (1987) Zero phase error tracking algorithm for digital control. J Dyn Syst Meas Control Trans ASME 109:65–68
White MT, Tomizuka M, Smith C (2000) Improved track following in magnetic disk drives using a disturbance observer. IEEE/ASME Trans Mechatron 5(1):3–11
Wong WE, Feng L, He Z, Liu J, Kan CM, Guo G (2005) PC-based position error signal generation and servo system for a spinstand. IEEE Trans Magn 41(11):4315–4322
Author information
Authors and Affiliations
Corresponding author
Rights and permissions
About this article
Cite this article
Pang, C.K., Guo, G., Chen, B.M. et al. Enhanced disturbance suppression in sampled-data systems and its application to high density data storage servos. Microsyst Technol 13, 911–921 (2007). https://doi.org/10.1007/s00542-006-0302-0
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s00542-006-0302-0