MULTIVARIABLE FUZZY CONTROLLER-DESIGN

The control of large multivariable industrial processes whose dynamics are either unknown or vague poses a very serious challenge in process control. Over the last fifteen years or so, the process industry has made serious progress in putting fuzzy logic to practice. Indeed numer ous successful applications have been reported to date. The design of fuzzy controllers today is very much an art and there are presently fe w effective design tools available for their development. This fact ha s, regrettably, limited their application considerably. To this end, t his paper describes an integrated development system which permits the controller designer to test hypotheses, examine rule validity and rul e conflict, examine the effect of changes in the controller parameters and perform a complete off-line simulation of a proposed multivariabl e fuzzy controller.