Signal Processing and Control Paradigms for Industrial Web Processes

Abstract Industrial web processes are usually treated by control engineers as special forms of multivariable system. However, based upon fundamental modelling arguments, more natural paradigms emerge two dimensional (2D) dynamical systems and orthogonal transform processes. This approach is followed here, along with the associated estimation and control algorithms. The important issue of dimensionality is also addressed and control specific data compression methods are discussed as are the data collection and sensing issues which are specific to web forming processes. All the methods discussed use synthesis procedures and thus have a natural adaptive interpretation.

[1]  Chandrasekhar Kambhampati,et al.  The relative order and inverses of recurrent networks , 1996, Autom..

[2]  Peter Wellstead,et al.  Identification of cross-directional behaviour in web production: Techniques and experience , 1994 .

[3]  Thomas J. Boyle.  Control of cross-direction variations in web forming machines , 1977 .

[4]  S. R. Duncan,et al.  The use of basis function expansions to analyse the robustness of cross-directional control systems , 1997, Proceedings of the 1997 American Control Conference (Cat. No.97CH36041).

[5]  Extended self-tuning predictors, smoothers and filters for two-dimensional data fields , 1990 .

[6]  S. R. Duncan.  The design of robust cross-directional control systems for paper making , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[7]  Ian T. Young,et al.  Fundamentals of Image Processing , 1998 .

[8]  Richard D. Braatz,et al.  Control relevant identification of sheet and film processes , 1995, Proceedings of 1995 American Control Conference - ACC'95.

[9]  G. Kastanakis.  Predicting and verifying the best quality control under particular conditions , 1990 .

[10]  Miroslav Kárný,et al.  Adaptive cross-direction control of paper basis weight , 1993, Autom..

[11]  P. E. Wellstead,et al.  Two-dimensional adaptive prediction, smoothing and filtering , 1987 .

[12]  M. B. Zarrop,et al.  Self-Tuning Systems: Control and Signal Processing , 1991 .

[13]  Richard D. Braatz,et al.  Robust performance of cross-directional basis-weight control in paper machines , 1993, Autom..

[14]  William P. Heath,et al.  Self-tuning prediction and control for two-dimensional processes Part 1: Fixed parameter algorithms , 1995 .

[15]  E.M. Heaven,et al.  Recent advances in cross machine profile control , 1994, IEEE Control Systems.

[16]  Dan E. Dudgeon,et al.  Multidimensional Digital Signal Processing , 1983 .

[17]  R. Roesser.  A discrete state-space model for linear image processing , 1975 .

[18]  M. Fjeld,et al.  Control Algorithms for Cross Directional Control: The State of the Art , 1983 .

[19]  A. R. Mitchell,et al.  The Finite Difference Method in Partial Differential Equations , 1980 .

[20]  William P. Heath,et al.  Orthogonal functions for cross-directional control of web forming processes , 1996, Autom..

[21]  S. Levy,et al.  Plastics Extrusion Technology Handbook , 1981 .

[22]  Gary A. Smook,et al.  Handbook for Pulp and Paper Technologists , 1982 .

[23]  Richard D. Braatz,et al.  Identification and cross‐directional control of coating processes , 1992 .

[24]  William P. Heath,et al.  Two-dimensional control systems: application to the CD and MD control problem , 1994 .

[25]  William P. Heath,et al.  Application of basis functions to the cross-directional control of web processes , 1996 .

[26]  Guy A. Dumont,et al.  Paper machine data compression using wavelets , 1996, Proceeding of the 1996 IEEE International Conference on Control Applications IEEE International Conference on Control Applications held together with IEEE International Symposium on Intelligent Contro.

[27]  Greyham Frank Bryant.  Automation of tandem mills , 1973 .

[28]  T. Kaczorek.  Two-Dimensional Linear Systems , 1985 .