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pH control: Handling nonlinearity and deadtime with fuzzy relational model-based control

Sing, Christoph and Postlethwaite, Bruce (1997) pH control: Handling nonlinearity and deadtime with fuzzy relational model-based control. IEE Proceedings Control Theory and Applications, 144 (3). pp. 263-268. ISSN 1350-2379

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Abstract

The application of fuzzy logic to the design of nonlinear controllers has become increasingly popular in recent years. Most of the developments have been in controllers of the rule-based type. An alternative approach, and one which reflects trends in conventional control, is to use fuzzy logic to build a process model, and then to incorporate this into a standard model-based controller scheme. The paper proposes the application of fuzzy relational models (FRMs) for the non-linear control of a pH process. The pH in both a simulated and a laboratory continuously stirred tank reactor (CSTR) was controlled by a model predictive controller (MPC), incorporating a fuzzy model created using a recently developed method of FRM identification. The controller performance is compared with that of a fuzzy rule-based controller, that of a PID controller and that of a linear MPC. The comparison shows the superiority of fuzzy relational model-based control (FRMBC) for highly nonlinear processes. The suitability of the FRMBC for real-world applications is demonstrated by its control performance on a laboratory-scale plant.

Item type: Article
ID code: 25679
Keywords: control system synthesis, fuzzy control, model reference, adaptive control systems, nonlinear control systems, pH control, Chemical engineering, Instrumentation, Control and Systems Engineering, Electrical and Electronic Engineering
Subjects: Technology > Chemical engineering
Department: Faculty of Engineering > Chemical and Process Engineering
Related URLs:
Depositing user: Dr. Bruce Postlethwaite
Date Deposited: 29 Jun 2010 09:58
Last modified: 05 Sep 2014 04:29
URI: http://strathprints.strath.ac.uk/id/eprint/25679

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