A Critical Study of Decentralized Controllers for a Multivariable System

A Critical Study of Decentralized Controllers for a Multivariable System

Industrial processes are naturally multivariable in nature. A comparison of multivariable decentralized controllers has been performed and a multivariable four interconnected water tank system, which exhibits a RHP (Right Half Plane) zero is considered for decentralized control. The characteristics...

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Bibliographic Details
Published in:Chemical engineering & technology Vol. 27; no. 8; pp. 880 - 889
Main Authors: Viknesh, R., Sivakumaran, N., Chandra, J.S., Radhakrishnan, T.K.
Format: Journal Article
Language:English
Published: Weinheim WILEY-VCH Verlag 01-08-2004
WILEY‐VCH Verlag
Wiley-VCH
Subjects:
Applied sciences
Chemical engineering
Computer program
Controller
Exact sciences and technology
Process control
Design
Integral proportional control
Uncertainty
Disturbance rejection
Decentralized control
Algorithm
Modeling
Multivariable system
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Summary:Industrial processes are naturally multivariable in nature. A comparison of multivariable decentralized controllers has been performed and a multivariable four interconnected water tank system, which exhibits a RHP (Right Half Plane) zero is considered for decentralized control. The characteristics of a four‐tank system are discussed and a decentralized PI (Proportional‐Integral) controller is designed for the system based on various control algorithms. The algorithms are simulated using MATLAB and the performances are compared for reference tracking, disturbance rejection and model uncertainty cases. The comparison of the results show that the controllers based on Gershgorin band and Ideal relay method are suitable for the control of a four‐tank system. The Multivariable four‐tank system has attracted more attention as it exhibits characteristics of interest in both control research and education. It exhibits elegantly complex dynamics, which emerge from a simple cascade of tanks. The four‐tank system has been used to illustrate both traditional and advanced multivariable control strategies and has been utilized as an educational tool in teaching advanced multivariable control techniques and provides interesting challenges in the control design
Bibliography:istex:F2FC87AFB121E12A1FA4E3E539153227C3931A73
ark:/67375/WNG-HLSLSXHR-8
ArticleID:CEAT200402034
ISSN:0930-7516
1521-4125
DOI:10.1002/ceat.200402034