The major disadvantage of non-adaptive control systems is that these control systems cannot cope with fluctuation in the parameters of the process. One solution to this problem is to use high levels of feedback gain to decrease the sensitivity of the control system. However high gain controllers have two major problems: large signal magnitude and closed loop instability. The solution to this problem is to develop a control system that adapts to changes in the process. This paper presents the design of adaptive controller to a Multi Input Multi Output (MIMO) chemical reactor. The proposed adaptive controller is tested by using Math lab Simulink program and its performance is compared to a conventional controller for a different situation. The paper demonstrated that while the adaptive controller exhibits superior performance in the presence of noise the convergence time is typically large and there is a large overshoot. The results from the case study indicate that the use of adaptive controller can be extended to process with inverse response. For such process the adaptive controller will be superior to the conventional controller even without parameters change in the process. Although the conventional controller has the smaller response time, it is incapable of eliminating the inverse response.
Published in | Automation, Control and Intelligent Systems (Volume 1, Issue 3) |
DOI | 10.11648/j.acis.20130103.15 |
Page(s) | 64-70 |
Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
Copyright |
Copyright © The Author(s), 2013. Published by Science Publishing Group |
Process, Controller, Data, Model
[1] | B.Wayne Bequette, process dynamic modelling, analysis and simulation; Precentice Hall:NJ,1998 |
[2] | G. Stephanopolus, Chemical process control; prentice Hall of India private limited, New Delhi, 2002. |
[3] | William L.Luyben Process Modeling, Simulation and Control for Chemical Engineer;MCGraw-Hill,Inc.,1990 |
[4] | C.T. Chen; Direct Adaptive Control of Chemical Process System; Industrial Engineering Chemical Research 2001, 40, 4121-4140. |
[5] | R.Gundala,, K.A.Hoo, Multiple Model Adaptive control Design for a MIMOchemicalreactor,Industrial Engineering Chemical Research 38,1554-1563, 2000. |
[6] | D. Tyner, M. Soroush, Adaptive Temperature Control of Multi Product Jacketed, Reactor. .Industrial Engineering Chemical Research 38 4337-4344, 1999. |
[7] | I. Mcmanus, Adaptive Control; A QUT Avionics project, Queensland University of Technology; 2002. |
[8] | A. Rajagolan, G. Washegton; Simulink Tutorial, Ohio State University, 2002. |
[9] | M. Kozek, Mraclab-a Tool for Teaching Model Reference Adaptive Control; Vienna University of Technology, 2000. |
APA Style
Yasabie Abatneh, Omprakash Sahu. (2013). Adaptive Control Design for a Mimo Chemical Reactor. Automation, Control and Intelligent Systems, 1(3), 64-70. https://doi.org/10.11648/j.acis.20130103.15
ACS Style
Yasabie Abatneh; Omprakash Sahu. Adaptive Control Design for a Mimo Chemical Reactor. Autom. Control Intell. Syst. 2013, 1(3), 64-70. doi: 10.11648/j.acis.20130103.15
AMA Style
Yasabie Abatneh, Omprakash Sahu. Adaptive Control Design for a Mimo Chemical Reactor. Autom Control Intell Syst. 2013;1(3):64-70. doi: 10.11648/j.acis.20130103.15
@article{10.11648/j.acis.20130103.15, author = {Yasabie Abatneh and Omprakash Sahu}, title = {Adaptive Control Design for a Mimo Chemical Reactor}, journal = {Automation, Control and Intelligent Systems}, volume = {1}, number = {3}, pages = {64-70}, doi = {10.11648/j.acis.20130103.15}, url = {https://doi.org/10.11648/j.acis.20130103.15}, eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.acis.20130103.15}, abstract = {The major disadvantage of non-adaptive control systems is that these control systems cannot cope with fluctuation in the parameters of the process. One solution to this problem is to use high levels of feedback gain to decrease the sensitivity of the control system. However high gain controllers have two major problems: large signal magnitude and closed loop instability. The solution to this problem is to develop a control system that adapts to changes in the process. This paper presents the design of adaptive controller to a Multi Input Multi Output (MIMO) chemical reactor. The proposed adaptive controller is tested by using Math lab Simulink program and its performance is compared to a conventional controller for a different situation. The paper demonstrated that while the adaptive controller exhibits superior performance in the presence of noise the convergence time is typically large and there is a large overshoot. The results from the case study indicate that the use of adaptive controller can be extended to process with inverse response. For such process the adaptive controller will be superior to the conventional controller even without parameters change in the process. Although the conventional controller has the smaller response time, it is incapable of eliminating the inverse response.}, year = {2013} }
TY - JOUR T1 - Adaptive Control Design for a Mimo Chemical Reactor AU - Yasabie Abatneh AU - Omprakash Sahu Y1 - 2013/07/10 PY - 2013 N1 - https://doi.org/10.11648/j.acis.20130103.15 DO - 10.11648/j.acis.20130103.15 T2 - Automation, Control and Intelligent Systems JF - Automation, Control and Intelligent Systems JO - Automation, Control and Intelligent Systems SP - 64 EP - 70 PB - Science Publishing Group SN - 2328-5591 UR - https://doi.org/10.11648/j.acis.20130103.15 AB - The major disadvantage of non-adaptive control systems is that these control systems cannot cope with fluctuation in the parameters of the process. One solution to this problem is to use high levels of feedback gain to decrease the sensitivity of the control system. However high gain controllers have two major problems: large signal magnitude and closed loop instability. The solution to this problem is to develop a control system that adapts to changes in the process. This paper presents the design of adaptive controller to a Multi Input Multi Output (MIMO) chemical reactor. The proposed adaptive controller is tested by using Math lab Simulink program and its performance is compared to a conventional controller for a different situation. The paper demonstrated that while the adaptive controller exhibits superior performance in the presence of noise the convergence time is typically large and there is a large overshoot. The results from the case study indicate that the use of adaptive controller can be extended to process with inverse response. For such process the adaptive controller will be superior to the conventional controller even without parameters change in the process. Although the conventional controller has the smaller response time, it is incapable of eliminating the inverse response. VL - 1 IS - 3 ER -