Design of Neural Network Controller for Active Vibration control of Cantilever plate with piezo - patch as sensor / actuator
نویسندگان
چکیده
The purpose of this work is to control the vibration of the plate with the help of neural network controller. Using augmented equations, a finite element model of a two-dimensional cantilever plate instrumented with a piezoelectric patch sensor-actuator pair is derived. The contribution of piezoelectric sensor and actuator layers on the mass and stiffness of the plate is considered. As mesh size (8x8) is found best for the future modeling and analysis of the plate has been taken.LQR controller tuning has been designed with the help of Neural Network training. It is observed that neural network controller has found suitable and gave effective control to suppress the first three modes of vibration of cantilever plate. With the help of MATLAB simulation results are presented.
منابع مشابه
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 wel...
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