PROCEDURE PROPOSED FOR FUZZY MULTIVARIABLE CONTROLLERS PROJECT
Multivariable Fuzzy Controller, MIMO System, Fuzzy Controller Tuning
Generally, control’s practical problems have many process variables to be controlled simultaneously and, usually they depend on each other. So, there is a necessity of a deep study about multivariable control systems. Then, analyzing the capability and potential of different control strategies is primordial to get the most appropriate control mode according to the system. Once that has been known, this work handles a systematic procedure which explain how to build an effective fuzzy controller for a system which has two or more inputs and two or more outputs. The procedure consists of dividing the controller projects in steps and for each of them, the parameters of the fuzzy controllers are tuned. Those steps get started considering a system which has a single input and a single output. After that, all of the controllers are joined into a single one which get all of the inputs and outputs, and also it has the configuration necessary to know how every single input influences in the outputs. Basically, it is possible to get a better performance and understanding once the behavior of the system is analyzed in which stage of the procedure. In order to prove the efficiency of the procedure, this method is applied to different cases of study, which are practical and simulated cases. The obtained multivariable fuzzy controller is compared with others by using graphical analysis and calculated indexes of performance for validation of the procedure.