Article

Robust intelligent control of coupled tanks

Authors:

Hadi Delavari,

Abolfazl Ranjbar NoieyAuthors Info & Claims

ACMOS'07: Proceedings of the 9th WSEAS international conference on Automatic control, modelling and simulation

Pages 1 - 6

Published: 27 May 2007 Publication History

Publisher Site

Abstract

In this paper, the level control in coupled tanks is investigated. At first a feedback linearization method is applied. It is a well known fact that feedback linearization controllers are not robust to changes in the parameters of the system and to disturbances acting on the system. Hence a Sliding Mode Controller is designed. In Sliding Mode Control (SMC), fast reaching velocity into the switching hyperplane in the hitting phase and little chattering phenomena in the sliding phase is desired. Then a Fuzzy Sliding Mode Control (FSMC) in cooperation with Genetic Algorithms (GAs) in coupled tanks problem is studied. A fuzzy logic controller is used to replace the discontinuity in the signoum function of the reaching law in the Sliding-Mode Control (SMC). Parameters of FSMC are adjusted by GAs. Finally, the performance and the significance of the controlled system are investigated under variation in system parameters and also in presence of an external disturbance. The simulation results indicate performance of genetic-based FSMC controller.

References

[1]

N.K. Poulsen, B. Kouvaritakis and M. Cannon, "Nonlinear constrained predictive control applied to a coupled-tanks apparatus", IEE Proc. Control Theory Appl., Vol. 148, No. 3, May 2001.

Google Scholar

[2]

H. L. Choi and J. T. Lim, "Feedback Linearization of nonminimum singular system", IEE Proc. Control Theory Appl., Vol. 148, No. 1, January 2001.

Google Scholar

[3]

M. Kh. Khan and S. K. Spurgeon, "Robust MIMO water level control in interconnected twin-tanks using second order sliding mode control", Control Engineering Practice Vol. 14, Issue 4, April 2006, pp. 375-386.

Crossref

Google Scholar

[4]

N. B. Almutairi, and M. Zribi, "Sliding mode control of coupled tanks", Mechatronics, Vol. 16, Issue 7, September 2006, pp. 427-441.

Google Scholar

[5]

H. T. Yau, Ch. Li Chen, "Chattering-free fuzzy sliding-mode control strategy for uncertain chaotic systems", Chaos, Solitons and Fractals, Vol. 30, Issue 3, November 2006, pp. 709-718.

Crossref

Google Scholar

[6]

R. Shahnazi, H. Shanechi, N. Pariz, "Position Control of Induction and DC Servomotors: A Novel Adaptive Fuzzy PI Sliding Mode Control", Power Engineering Society General Meeting, 2006 IEEE, pp. 1-9.

Google Scholar

[7]

B. Moshiri, M. Jalili-Kharaajoo, F. Besharati, "Application of fuzzy sliding mode based on genetic algorithms to control of robotic manipulators", Emerging Technologies and Factory Automation, Vol. 2, 16-19 Sept. 2003 IEEE, pp. 169-172.

Google Scholar

[8]

J. J. E. Slotine, and W. Li, Applied Nonlinear Control, New Jersey, USA: Prentice Hall International Inc., 1991.

Google Scholar

[9]

D.E. Goldberg, Genetic Algorithms in Search, Optimization and Machine Learning, Addison-Wesley Publishing Co. ISBN 0-201-15767-5, San Mateo, CA, 1989.

Digital Library

Google Scholar

Robust intelligent control of coupled tanks
1. Computing methodologies
  1. Artificial intelligence
    1. Control methods
    2. Knowledge representation and reasoning
  2. Modeling and simulation
    1. Model development and analysis
2. Information systems
  1. Information systems applications

Recommendations

Robust output feedback control for nonlinear systems including actuators

A robust output feedback control is developed for the stabilization of a class of multivariable nonlinear systems including nonlinear actuators. The class of systems under consideration can be transformed into global normal form with no zero dynamics. ...
Brief Nonlinear control of the Reaction Wheel Pendulum

In this paper we introduce the Reaction Wheel Pendulum, a novel mechanical system consisting of a physical pendulum with a rotating bob. This system has several attractive features both from a pedagogical standpoint and from a research standpoint. From ...
Robust adaptive output feedback control for a class of nonlinear systems

In this paper, we consider a class of single input-single output nonlinear systems whose nominal model is feedback linearizable and satisfies a minimum-phase condition. The system model depends linearly on unknown parameters which belong to a known ...

Comments

Information & Contributors

Information

Published In

ACMOS'07: Proceedings of the 9th WSEAS international conference on Automatic control, modelling and simulation

May 2007

324 pages

ISBN:9789608457744

Editors:
Metin Demiralp
Informatics Institute, Istanbul Technical University, ITU Bilisim Enstitusu Ayazaga Yerleskesi Maslak, Istanbul, Turkey
,
Nikos E. Mastorakis
Military Inst. of University Education, Hellenic Naval Academy, Piraeus, Greece

Publisher

World Scientific and Engineering Academy and Society (WSEAS)

Stevens Point, Wisconsin, United States

Publication History

Published: 27 May 2007

Author Tags

Qualifiers

Article

Recommendations

Robust output feedback control for nonlinear systems including actuators

Brief Nonlinear control of the Reaction Wheel Pendulum

Robust adaptive output feedback control for a class of nonlinear systems

Comments

Published In

Publisher

Publication History

Author Tags

Qualifiers

Other Metrics

Article Metrics

Other Metrics

Abstract

References

Recommendations

Robust output feedback control for nonlinear systems including actuators

Brief Nonlinear control of the Reaction Wheel Pendulum

Robust adaptive output feedback control for a class of nonlinear systems

Comments

Information

Published In

Publisher

Publication History

Author Tags

Qualifiers

Contributors

Other Metrics

Bibliometrics

Article Metrics

Other Metrics

Citations

View options

Figures

Other

Share

Share this Publication link

Share on social media

Affiliations