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Citation Information : International Journal on Smart Sensing and Intelligent Systems. Volume 5, Issue 2, Pages 487-503, DOI: https://doi.org/10.21307/ijssis-2017-491
License : (CC BY-NC-ND 4.0)
Received Date : 11-April-2012 / Accepted: 09-May-2012 / Published Online: 01-June-2012
The interactions between input/output in multivariable processes represent a major challenge in the design of decentralized controllers. In this paper, a simple method for the design of decentralized PID controller is proposed. It consists to combine the conventional PID controller with the static decoupler approach. For each single loop, the individual controller is independently designed by applying the internal model control (IMC) tuning rules. To demonstrate the effectiveness of the proposed method, the PID controller with and without decoupling is implemented on an aerothermic process. It is a pilot scale heating and ventilation system equipped with a heater grid and a centrifugal blower, fully connected through the Humusoft MF624 data acquisition system for real time control. The outcome of the experimental results is that the main control objectives, such as set-point tracking and interactions rejection are well achieved. The experimental results have shown that the proposed method provides a significant improvement compared to conventional PID controller.
 M. Ramzi, H. Youlal and M. Haloua, "State Space Model Predictive Control of an
Aerothermic Process with Actuators Constraints," Intelligent Control and Automation, Vol. 3
No. 1, 2012, pp. 50-58.
 N. Bennis, J. Duplaix, G. Enéa, M. Haloua, H. Youlal, “Greenhouse climate modelling
and robust control”, Computers and Electronics in Agriculture, 2008, Vol. 61, pp. 96-107.
 M. Nachidi, F. Rodriguez, F. Tadeo, J.L. Guzmanb, “Takagi-Sugeno control of nocturnal
temperature in greenhouses using air heating”, ISA Transactions, 2011, Vol. 50, pp. 315-320.
 R.F. Escobar, et al., “Sensor fault detection and isolation via high-gain observers:
Application to a double-pipe heat exchanger”, ISA Transactions, Volume 50, Issue 3, July
2011, pp. 480-486.
 M.F. Rahmat , N.A. Mohd Subha, Kashif M.Ishaq and N. Abdul Wahab, “Modeling and
controller design for the VVS-400 pilot scale heating and ventillation system”, International
journal on smart sensing and intelligent systems, December 2009, Vol. 2, No. 4, pp. 579-601.
 E. Yesil, M.Guzelkaya, I.Eksin, O. A. Tekin, “Online Tuning of Set-point Regulator with
a Blending Mechanism Using PI Controller”. Turk J Elec Engin, 2008, Vol.16, No. 2, pp.
 T. Kealy, A. O’Dwyer, “Closed Loop Identification of a First Order plus Dead Time
Process Model under PI Control”, Proceedings of the Irish Signals and Systems Conference,
University College, Cork, 2002, pp. 9-14.
 R. Mooney and A. O’Dwyer, “A case study in modeling and process control: the control
of a pilot scale heating and ventilation system”, Proceedings of IMC-23; the 23rd
International Manufacturing Conference, University of Ulster, Jordanstown, August, 2006,
 H.L. Ho, A.B. Rad, C.C. Chan and Y.K. Wong, “Comparative studies of three adaptive
controllers”, ISA Transactions 38, 1999, pp 43-53.
 D.M. de la Pena, D.R. Ramirez, E.F. Camacho, T. Alamo, “Application of an explicit
min-max MPC to a scaled laboratory process”, Control Eng. Practice, Vol. 13, No. 12, 2005,
 Manual for ERD004000 Flow and Temperature process, 78990 ELANCOURT,
 H. Garnier, M. Gilson, T. Bastogne, and M. Mensler, “CONTSID toolbox: a software
support for continuous-time data-based modelling. In Identification of continuous time
models from sampled data”, H.Garnier and L. Wang (Eds.), Springer, London, 2008, pp. 249-
 G. P. Rao and H. Unbehauen, “Identification of continuous time systems” IEE
Proceedings Control Theory and Appl, March 2006, 153 No. 2, pp. 185-220
 V. Laurain, M. Gilson, H. Garnier, and P.C. Young. “Refined instrumental variable
methods for identification of Hammerstein continuous-time Box-Jenkins models”, IEEE
Conference on Decision and Control (CDC'2008) , Cancun (Mexico) , December 2008, pp.
 Ljung, L. “Initialisation aspects for subspace and output error identification methods”,
European Control Conference (ECC2003), Cambridge (U.K.), December 2003.
 H. Garnier, L. Wang, and P.C. Young, “Direct Identification of Continuous-time Models
from Sampled Data: Issues, Basic Solutions and Relevance in Identification of continuoustime
models from sampled data”, Springer, London, 2008, pp. 1-29.
 Hugues Garnier, “Data-based continuous-time modelling of dynamic systems”, 4th
International Symposium on Advanced Control of Industrial Processes, Adconip China 2011,
 V. Laurain, M. Gilson, R. Toth, H. Garnier, “Direct identification of continuous-time
LPV models”, American Control Conference, 2011, pp. 159-164
 Young, P.C. “An instrumental variable method for real time identification of a noisy
process”. Automatica, 6, 1970, pp. 271-287.
 Young. P.C, “Recursive Estimation and Time-Series Analysis”, Springer-Verlag, Berlin,
 Tham, M.T. (1999). “Multivariable Control: An Introduction to Decoupling Control”.
Department of Chemical and Process Engineering, University of Newcastle upon Tyne.
 Dale E. Seborg, Thomas F. Edgard, Duncan A. Mellichamp, “Process dynamics and
control”, Second edition, 2004 John Wiley & sons, pp. 473-502
 William Y. Svrcek, Donald P. Mahoney, Brent R. Young, “A Real-Time Approach to
Process Control”, Second Edition, 2006, John Wiley & Sons Ltd, pp. 215-234
 Branislav T. Jevtovica, Miroslav R. Matausek, “PID controller design of TITO system
based on ideal decoupler”, Journal of Process Control, 2010, Vol. 20, pp. 869–876
 T. Nguyen L. Vu and M. Lee “Independent design of multi-loop PI/PID controllers for
interacting multivariable processes”, Journal of Process Control 20, 2010, pp. 922–933
 Guillermo J., Silva Aniruddha Datta and S.R Bhattacharyya, “PID Controllers for Time-
Delay Systems”, 2005 Birkhauser Boston, pp. 1-19