Performance Monitoring and Improvement Strategies

The final and most challenging objective of applying performance assessment methods and indices should always be to suggest measures to improve the control or process/plant performance. Even in the case where the loop is found to work at acceptable performance level, it is useful to know how the performance can be improved to attain top level. In this chapter, possible performance improvement measures are briefly discussed. Some paradigms and strategies for monitoring the performance of complex process-control systems are introduced. A comprehensive control-performance assessment procedure is proposed combining different methods described throughout the previous chapters of the book.

[1]  Karl Johan Åström,et al.  Adaptive Control , 1989, Embedded Digital Control with Microcontrollers.

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

[3]  Sirkka-Liisa Jämsä-Jounela,et al.  CONTROL LOOP PERFORMANCE MEASURES IN THE EVALUATION OF PROCESS ECONOMICS , 2005 .

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

[5]  David Q. Mayne,et al.  Model predictive control: Recent developments and future promise , 2014, Autom..

[6]  J. Macgregor,et al.  Monitoring and Diagnosing Process Control Performance: The Single-Loop Case , 1991, 1991 American Control Conference.

[7]  Thomas F. Edgar,et al.  Process Dynamics and Control , 1989 .

[8]  Wilson J. Rugh,et al.  Analytical Framework for Gain Scheduling , 1990, 1990 American Control Conference.

[9]  F. G. Greg Shinskey,et al.  Process Control Systems: Application, Design and Tuning , 1990 .

[10]  Antonio Visioli,et al.  Practical PID Control , 2006 .

[11]  Rolf Isermann,et al.  Adaptive control systems , 1991 .

[12]  Tore Hägglund,et al.  Advanced PID Control , 2005 .

[13]  Karl Johan Åström,et al.  Computer-Controlled Systems: Theory and Design , 1984 .

[14]  Graham C. Goodwin,et al.  Control System Design , 2000 .

[15]  Adolf Hermann Glattfelder,et al.  Control Systems with Input and Output Constraints , 2003 .

[16]  Jan M. Maciejowski,et al.  Predictive control : with constraints , 2002 .

[17]  Marcelo Farenzena,et al.  VARIABILITY MATRIX: A NEW TOOL TOIMPROVE THE PLANT PERFORMANCE , 2006 .