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

Autor:	Bruce Postlethwaite, Christoph Sing
Rok vydání:	1997
Předmět:	Engineering Fuzzy rule Neuro-fuzzy business.industry PID controller Control engineering Fuzzy control system Fuzzy logic Model predictive control Control and Systems Engineering Control theory Process control Electrical and Electronic Engineering business Instrumentation
Zdroj:	IEE Proceedings - Control Theory and Applications. 144:263-268
ISSN:	1359-7035 1350-2379
DOI:	10.1049/ip-cta:19971139
Popis:	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.
Databáze:	OpenAIRE
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