Interactive Learning Module for control interaction understanding

This paper describes an interactive tool focused on teaching and learning basic concepts on multivariable control systems. Most industrial processes are represented by multivariable systems and thus the teaching and learning of basic concepts on multivariable control is a key factor in control engineering education. In this sense, the interactive tool presented in this paper is aimed to introduce basic ideas on multivariable control systems mainly focused on interaction and pairing concepts.

[1]  Karl Henrik Johansson,et al.  The quadruple-tank process: a multivariable laboratory process with an adjustable zero , 2000, IEEE Trans. Control. Syst. Technol..

[2]  Qing-Guo Wang,et al.  PID Control for Multivariable Processes , 2008 .

[3]  Karl Henrik Johansson,et al.  Design of decoupled PI controllers for two-by-two systems , 2002 .

[4]  Yves Piguet,et al.  Interactive Learning Module: Basic Modelling and Identification Concepts , 2008 .

[5]  H. Rosenbrock,et al.  State-space and multivariable theory, , 1970 .

[6]  Mohammed Chadli,et al.  Multivariable control systems - an engineering approach , 2003, Autom..

[7]  J. Sánchez Interactive control system design (diseño interactivo de sistemas de control) , 2006 .

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

[9]  Tore Hägglund,et al.  Interactive tool for analysis of time-delay systems with dead-time compensators , 2006 .

[10]  Sebastián Dormido-Bencomo,et al.  Control learning: present and future , 2004, Annu. Rev. Control..

[11]  R. K. Wood,et al.  Terminal composition control of a binary distillation column , 1973 .

[12]  Yves Piguet,et al.  Interactive Learning Modules for PID Control , 2006 .

[13]  S. Dormido,et al.  The quadruple-tank process: An interactive tool for control education , 2003, 2003 European Control Conference (ECC).

[14]  Manuel Berenguel,et al.  MIMO-GPCIT. Herramienta Interactiva de Control Predictivo Generalizado para Sistemas Multivariables con Restricciones , 2010 .

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