How to tune fuzzy controllers
Eduardo Gomez-Ramirez, A. Chavez-Placencia · 2005
Fuzzy controllers tuning implies the handling of a great quantity of variables like: the shape, number and ranges of the membership functions, the percentage of overlap among them and the design of the rule base. The problem is more complicated when it is necessary to control multivariable systems due that the number of parameters. The importance of the tuning problem implies to obtain fuzzy system that decrease the settling time of the processes in which it is applied, or in some cases, the settling time must be fixed to some specific value. In this work a very simple algorithm is presented for the tuning of a fuzzy controller using only one variable to adjust the performance of the system. The results would be obtained considering the relationship that exists between the membership functions and the settling time.