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Please use this identifier to cite or link to this item: http://hdl.handle.net/123456789/12127

Title: On-line tuning of model predictive controllers using fuzzy logic
Authors: Ali, Al-Ghazzawi, A E. ,
Keywords: Fuzzy logic; Model predictive control; Online tuning; Performance specification
Issue Date: 2003
Publisher: Canadian Society for Chemical Engineering
Citation: Canadian Journal of Chemical Engineering: Volume 81, Issue 5, Pages 1041-1051
Abstract: This paper addresses the problem of tuning model predictive controllers for good performance. An automatic online tuning strategy is developed to adjust the prediction horizon, P, the diagonal elements of the input weight matrix, Λ, and the diagonal elements of the output weight matdx, Γ. The control horizon is left constant because its relative value with respect to P is more important. The tuning algorithm is based on the fuzzy logic concepts. Predefined fuzzy rules that formulate the general tuning guidelines available in the literature and the performance violation measure in the form of fuzzy sets determine the new tuning parameter values. Therefore, the tuning algorithm is cast as a simple and straightforward mechanism with modest computational requirements. This feature makes it more appealing for online implementation. The effectiveness of the proposed tuning method is tested through simulated implementation on a binary distillation column example and on a non linear CSTR example. The result of the simulations revealed the success of such a method.
URI: http://hdl.handle.net/123456789/12127
ISSN: 00084034
Appears in Collections:College of Engineering

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