Fuzzy Control with Reference Model-Following Response

Publisher Summary This chapter discusses a hybrid controller combining the advantages of model-following controllers and fuzzy controllers. In this hybrid controller, an output linear model-following controller is first designed according to the roughly estimated plant model at nominal operating point and the chosen reference model. Then an adaptation signal is yielded by a fuzzy controller, which is driven by the model-following error and its change. The description of the systematic design of a conventional fuzzy controller and its major problems is given. Then a fuzzy model-following controller (FMFC) combining the advantages of a model-following controller and a fuzzy controller is introduced. In the design of this hybrid controller a reference model is selected and a linear model-following controller (LMFC) is designed based on the roughly estimated plant model at the nominal operating point. The proposed fuzzy model-following controller applied to the speed control of an indirect field-oriented induction motor drive is illustrated. Dynamic signal analysis of the model following behavior is made; accordingly, the procedure for constructing the control algorithms is introduced in detail. Some simulation and measured results are provided to demonstrate the performance of the motor drive controlled by the fuzzy model-following controller.