Departamento de Ingeniería Electrónica, Sistemas Informáticos y Automática, Universidad de Huelva, Escuela Politécnica Superior, Carretera Huelva-La Rábida, 21071-Palos de la Frontera, Huelva, Spain
Abstract:
Feedback linearization is a well-known technique in nonlinear control in which known system nonlinearities are canceled by the control input leaving a linear control problem. Feedback linearization requires an exact model for the system. Fundamental and advanced developments in neuro-fuzzy synergy for modeling and control are used to apply the feedback linearization control law on second-order plants. In the models that are used, the nonlinear plant is decomposed on six fuzzy systems necessary to apply the control signal to allow the following of a reference value. A practical application is also presented using a waste water plant. This method can be extended to multiple input–multiple output (MIMO) plants based on input–output data pairs collected directly from the plant.