Ebrahim Abdulla Al-Gallaf
Department of Electrical and Electronics Engineering, College of Engineering
University of Bahrain, P. 0. Box: 13184, Kingdom of Bahrain
ABSTRACT
This paper presents the application of neural-network based Model Predictive Control (MPC) scheme to control a non-linear liquid-level system with interaction. We have employed a feed forward neural network as the model in MPC-algorithm and compared it with a model obtained by the conventional statistical identification method (Least Square Method which identifies the linearized model). A model predictive controller synthesis using a neural network based model were found to have better performance in terms of convergence of the system to the desired settling set points than using the statistical model.
PDF References Citation
How to cite this article
Ebrahim Abdulla Al-Gallaf, 2002. Artificial Neural Network Based Nonlinear Model Predictive Control Strategy. Information Technology Journal, 1: 173-179.
DOI: 10.3923/itj.2002.173.179
URL: https://scialert.net/abstract/?doi=itj.2002.173.179
DOI: 10.3923/itj.2002.173.179
URL: https://scialert.net/abstract/?doi=itj.2002.173.179
REFERENCES
- Draeger, A., S. Engell and H. Ranke, 1995. Model predictive control using neural networks. IEEE Control Syst. Mag., 15: 61-66.
CrossRefDirect Link - Fukuda, T. and T. Shibata, 1992. Theory and applications of neural networks for industrial control systems. IEEE Trans. Ind. Elect., 39: 472-489.
CrossRefDirect Link - Garcia, C.E. and M. Morari, 1982. Internal model control: A unifying review and some new results. Ind. Eng. Chem. Process Des. Dev., 21: 308-323.
CrossRefDirect Link - Garcia, C.E. and A.M. Morshedi, 1986. Quadratic programming solution of dynamic matrix control (QDMC). Chem. Eng. Commun., 46: 73-87.
CrossRefDirect Link - Hunt, K.J., D. Sbarbaro, R. Zbikowski and P.J. Gawthrop, 1992. Neural networks for control systems: A survey. Automatica, 28: 1083-1099.
Direct Link - Karla, V.R. and H.H.C. Bakker, 1995. Neural-network-based model predictive control: A case study. Proceedings of the 2nd New Zealand Two-Stream International Conference on Artificial Neural Networks and Expert Systems, Nov. 20-23, Washington, DC., USA., pp: 355-355.
Direct Link - Lundstrom, P., J.H. Lee, M. Morari and S. Skogestad, 1995. Limitations of dynamic matrix control. Comput. Chem. Eng., 19: 409-421.
CrossRefDirect Link - Warwick, K., 1996. An Introduction to Control Systems. 2nd Edn., World Scientific Publishing Co., USA.
Direct Link - Ogata, K., 2001. Modern Control Engineering. 4th Edn., Prentice Hall, USA., ISBN-10: 0130609072, pp: 970.
Direct Link