Controller design for serial processes

Abstract In this paper, we aim at obtaining insight into how a multivariable feedback controller works, with special attention to serial processes. Serial processes are important in the process industry, and the structure of this process makes it simple to classify the different elements of the multivariable controller. In particular, we focus on the difference between the feedforward and feedback parts of the controller. Feedforward control may improve the performance significantly, but is sensitive to uncertainty, especially at low frequencies. Feedback control is very effective at lower frequencies where high feedback gains are allowed. An example of neutralization of an acid in a series of three tanks is used to illustrate the ideas.

[1]  Evanghelos Zafiriou,et al.  Robust process control , 1987 .

[2]  Sigurd Skogestad,et al.  State Space Realization of Model Predictive Controllers Without Active Constraints , 2003 .

[3]  J. G. Ziegler,et al.  Optimum Settings for Automatic Controllers , 1942, Journal of Fluids Engineering.

[4]  P. S. Buckley,et al.  Techniques of Process Control , 1965 .

[5]  Sigurd Skogestad A PROCEDURE FOR SISO CONTROLLABILITY ANALYSIS--WITH APPLICATION TO DESIGN OF pH NEUTRALIZATION PROCESSES , 1996 .

[6]  Helene Panagopoulos,et al.  PID Controller Design , 1998 .

[7]  Gabriele Pannocchia,et al.  Disturbance models for offset‐free model‐predictive control , 2003 .

[8]  Sigurd Skogestad,et al.  Dynamic behaviour of integrated plants , 1996 .

[9]  S. Skogestad,et al.  Control structure selection for serial processes with application to pH-Neutralization , 1999, 1999 European Control Conference (ECC).

[10]  Sigurd Skogestad,et al.  Feedforward control under the presence of uncertainty , 2003 .

[11]  F. G. Shinskey,et al.  pH and pIon control in process and waste streams , 1973 .

[12]  James B. Rawlings,et al.  Model predictive control with linear models , 1993 .

[13]  Thomas E. Marlin,et al.  Process Control: Designing Processes and Control Systems for Dynamic Performance , 1995 .

[14]  Thomas E Marlin,et al.  Process Control , 1995 .

[15]  Ian Postlethwaite,et al.  Multivariable Feedback Control: Analysis and Design , 1996 .

[16]  Claudio Scali,et al.  Robustness Issues in Feedforward Control , 1989, 1989 American Control Conference.

[17]  Sigurd Skogestad,et al.  Limitations of dynamic matrix control , 1995 .

[18]  Sigurd Skogestad,et al.  pH-Neutralization: Integrated Process and Control Design , 2000 .

[19]  D. Lewin,et al.  Feedforward control in the presence of uncertainty , 1988 .

[20]  Kenneth R. Muske,et al.  Disturbance modeling for offset-free linear model predictive control , 2002 .

[21]  Manfred Morari,et al.  State-space interpretation of model predictive control , 1994, Autom..

[22]  S. Walsh,et al.  Integrated design of chemical waste water treatment systems , 1993 .

[23]  Audun Faanes,et al.  Controllability analysis for process and control system design , 2003 .

[24]  Sigurd Skogestad THE DYNAMIC BEHAVIOR OF CASCADE PROCESSES {WITH APPLICATION TO DISTILLATION COLUMNS , .

[25]  T. Harris,et al.  "Internal model control. 4. PID controller design." Comments , 1987 .

[26]  J. Doyle,et al.  Robust and optimal control , 1995, Proceedings of 35th IEEE Conference on Decision and Control.

[27]  M. Morari,et al.  Internal model control: PID controller design , 1986 .