A MIMO fuzzy model-based controller

Postlethwaite, B. and Edgar, C. (2000) A MIMO fuzzy model-based controller. Chemical Engineering Research and Design, 78 (4). pp. 557-564. ISSN 0263-8762 (https://doi.org/10.1205/026387600527707)

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Abstract

Fuzzy model-based controllers offer a means of controlling non-linear MIMO systems. The main problem with implementing these systems is that the normal model formulations become increasingly difficult to invert as the number of controlled outputs increase. A new fuzzy model formulation is presented in this paper which avoids this problem. Details are also given of a new identification scheme which allows a priori information about the system to be taken into account. A new MIMO controller algorithm is presented which calculates the required control actions by analytically inverting a MIMO fuzzy model at each sample interval. Finally, some simulation results showing the simultaneous control of pH and level using inlet base and acid flows are given as a demonstration. The simulation results show that the new model structure, identification method, and controller are capable of producing excellent results in the multi-variable control of a highly non-linear, interactive, process.

ORCID iDs

Postlethwaite, B. ORCID logoORCID: https://orcid.org/0000-0003-1418-6670 and Edgar, C.;
CORE (COnnecting REpositories)