Process control engineering considerations on the application of Virtual Reference Feedback Tuning method

This paper refers to two aspects on using the Virtual Reference Feedback Tuning (VRFT) method on process control engineering. The first issue concerns the extent to which the spectral model uncertainties of the process input affects the quality of the process control system resulted from the VRFT method. The second issue concerns the selection of the reference model and of the dynamic compensator order from the controller structure. An iterative procedure is proposed to address these issues, including obtaining a PID controller by using the VRFT methodology.

[1]  Sergio M. Savaresi,et al.  An Application of the Virtual Reference Feedback Tuning Method to a Benchmark Problem , 2003, Eur. J. Control.

[2]  Kazuo Tanaka,et al.  Fuzzy Control Systems Design and Analysis: A Linear Matrix Inequality Approach , 2008 .

[3]  Sergio M. Savaresi,et al.  Virtual reference feedback tuning: a direct method for the design of feedback controllers , 2002, Autom..

[4]  David L. Elliott,et al.  Neural Systems for Control , 1997 .

[5]  Igor Boiko.  Non-parametric Tuning of PID Controllers , 2012 .

[6]  Michel Gevers,et al.  Optimal prefiltering in iterative feedback tuning , 2005, IEEE Transactions on Automatic Control.

[7]  Ramon Vilanova,et al.  PID Control in the Third Millennium , 2012 .

[8]  K. Åström,et al.  Revisiting the Ziegler-Nichols step response method for PID control , 2004 .

[9]  T. Hägglund,et al.  REVISITING THE ZIEGLER‐NICHOLS TUNING RULES FOR PI CONTROL — PART II THE FREQUENCY RESPONSE METHOD , 2004 .

[10]  Michel Gevers,et al.  Virtual Reference Feedback Tuning for non minimum phase plants , 2009 .

[11]  Diego Eckhard,et al.  Virtual Reference Feedback Tuning for non minimum phase plants , 2009, 2009 European Control Conference (ECC).

[12]  Katsuhiko Ogata,et al.  Modern Control Engineering , 1970 .

[13]  Håkan Hjalmarsson,et al.  Iterative feedback tuning—an overview , 2002 .

[14]  Michel Gevers,et al.  Asymptotic accuracy of iterative feedback tuning , 2005, IEEE Transactions on Automatic Control.

[15]  Kazuo Tanaka,et al.  Fuzzy control systems design and analysis , 2001 .

[16]  Liu Luoren,et al.  Research of PID Control Algorithm Based on Neural Network , 2011 .

[17]  Ulf Jeppsson,et al.  Application of multivariate virtual reference feedback tuning for wastewater treatment plant control , 2012 .

[18]  Brent R. Young,et al.  A Real-Time Approach to Process Control , 2000 .

[19]  Antonio Sala,et al.  Extensions to "virtual reference feedback tuning: A direct method for the design of feedback controllers" , 2005, Autom..

[20]  Eugenio J. Tacconi,et al.  Complementary rules to Ziegler and Nichols' rules for a regulating and tracking controller , 1989 .

[21]  David Rojas Fernández.  Extensions and applications of the Virtual Reference Feedback Tuning , 2011 .

[22]  K. Astr,et al.  Revisiting the Ziegler – Nichols step response method for PID control , 2004 .

[23]  Antonio Sala,et al.  APPLICATION OF NEURAL NETWORKS TO VIRTUAL REFERENCE FEEDBACK TUNING CONTROLLER DESIGN , 2007 .

[24]  H. Prochazka,et al.  Iterative Feedback Tuning for robust controller design and optimization , 2005, Proceedings of the 44th IEEE Conference on Decision and Control.