Design of Adaptive neuro-fuzzy inference system (ANFIS) Controller for Active Vibration control of Cantilever Plate with Piezo -Patches as sensor /actuator

The aim of this work is to optimise the vibration of the plate with the help of Adaptive neuro-fuzzy inference system (ANFIS) controller. The contribution of piezoelectric sensor and actuator layers on the mass and stiffness of the plate is considered. As the plate is square so we get total 64 squares. To validate the present code, frequency response has been compared with exact solution as well as experimental results already published in the previous papers. Adaptive neuro-fuzzy inference system (ANFIS)optimal control scheme have been applied to study the control effectiveness and tip displacement-settling time graph are plotted using piezoelectric patches at various locations to find out the optimal location to suppress the first three modes. It is observed that Adaptive neuro-fuzzy inference system (ANFIS) controller is found suitable and give effective control to suppress the first three modes of vibration of cantilever plate. Tip displacement and tip velocity are taken as the inputs and the control force are taken as the outputs at different nine points. The controller consists of nine rules which are based on simple human reasoning. Using augmented equations, a finite element model of a two-dimensional cantilever plate instrumented with a piezoelectric patches sensor-actuator pair is derived.