Pseudo Youla-Kucera parameterization with control of the waterbed effect for local loop shaping

This paper discusses a discrete-time loop shaping algorithm for servo enhancement at multiple wide frequency bands. Such design considerations are motivated by a large class of practical control problems such as vibration rejection, active noise control, and periodical reference tracking; as well as recent novel challenges that demand new design in the servo technologies. A pseudo Youla-Kucera parameterization scheme is proposed using the inverse system model to bring enhanced control at selected local frequency regions. Design methodologies are created to control the waterbed amplifications that come from the fundamental limitations of feedback control. Finally, simulation and experimental verification are conducted in precision control and semiconductor manufacturing.

[1]  Ioan Doré Landau,et al.  Adaptive narrow band disturbance rejection applied to an active suspension - an internal model principle approach , 2005, Autom..

[2]  Maarten Steinbuch,et al.  Repetitive control for systems with uncertain period-time , 2002, Autom..

[3]  Andreas H. von Flotow,et al.  Comparison and extensions of control methods for narrow-band disturbance rejection , 1992, IEEE Trans. Signal Process..

[4]  Charles E. Kinney,et al.  Active noise control in a forced-air cooling system , 2010 .

[5]  Scott C. Douglas,et al.  Adaptive algorithms for the rejection of sinusoidal disturbances with unknown frequency , 1996, Autom..

[6]  A. G. Ulsoy,et al.  Adaptive Sinusoidal Disturbance Rejection in Linear Discrete-Time Systems—Part I: Theory , 1999 .

[7]  Masayoshi Tomizuka,et al.  Analysis and Synthesis of Discrete-Time Repetitive Controllers , 1989 .

[8]  Qing Zhang,et al.  Noise analysis of an algorithm for uncertain frequency identification , 2006, IEEE Transactions on Automatic Control.

[9]  Mei Liu,et al.  Adaptive Regulation Against Unknown Narrow Band Disturbances Applied to the Flying Height Control in Data Storage Systems , 2014 .

[10]  V. Kučera Stability of Discrete Linear Feedback Systems , 1975 .

[11]  Masayoshi Tomizuka,et al.  Selective model inversion and adaptive disturbance observer for time-varying vibration rejection on an active-suspension benchmark , 2013, Eur. J. Control.

[12]  Marc M. J. van de Wal,et al.  Connecting System Identification and Robust Control for Next-Generation Motion Control of a Wafer Stage , 2014, IEEE Transactions on Control Systems Technology.

[13]  S. Hara,et al.  Repetitive control system: a new type servo system for periodic exogenous signals , 1988 .

[14]  Masayoshi Tomizuka,et al.  A Minimum Parameter Adaptive Approach for Rejecting Multiple Narrow-Band Disturbances With Application to Hard Disk Drives , 2012, IEEE Transactions on Control Systems Technology.

[15]  Ioan Doré Landau,et al.  Benchmark on adaptive regulation - rejection of unknown/time-varying multiple narrow band disturbances , 2013, Eur. J. Control.

[16]  B. Widrow,et al.  Adaptive noise cancelling: Principles and applications , 1975 .

[17]  Masayoshi Tomizuka,et al.  New Repetitive Control With Improved Steady-State Performance and Accelerated Transient , 2014, IEEE Transactions on Control Systems Technology.

[18]  Huazhen Fang,et al.  Adaptive regulation via weighted robust estimation and automatic controller tuning , 2013, Eur. J. Control.

[19]  Bing-Fei Wu,et al.  A simplified approach to Bode's theorem for continuous-time and discrete-time systems , 1992 .

[20]  Masayoshi Tomizuka,et al.  Dealing with periodic disturbances in controls of mechanical systems , 2007, PSYCO.

[21]  Dante C. Youla,et al.  Modern Wiener--Hopf design of optimal controllers Part I: The single-input-output case , 1976 .