Active vibration control of flexible cantilever plates using piezoelectric materials and artificial neural networks. (17th February 2016)

• Record Type: Journal Article
• Authors: Abdeljaber, Osama; Avci, Onur; Inman, Daniel J.
• Is Part Of: Journal of sound and vibration. Volume 363(2016)
• Page Start: 33
• Page End: 53
• Publication Date: 2016-02-17
• Subjects: Sound -- Periodicals; Vibration -- Periodicals; Son -- Périodiques; Vibration -- Périodiques; Sound; Vibration; Periodicals; Electronic journals; 620.205
• DOI: 10.1016/j.jsv.2015.10.029
• Languages: English
• ISSNs: 0022-460X

Abstract

Abstract: The study presented in this paper introduces a new intelligent methodology to mitigate the vibration response of flexible cantilever plates. The use of the piezoelectric sensor/actuator pairs for active control of plates is discussed. An intelligent neural network based controller is designed to control the optimal voltage applied on the piezoelectric patches. The control technique utilizes a neurocontroller along with a Kalman Filter to compute the appropriate actuator command. The neurocontroller is trained based on an algorithm that incorporates a set of emulator neural networks which are also trained to predict the future response of the cantilever plate. Then, the neurocontroller is evaluated by comparing the uncontrolled and controlled responses under several types of dynamic excitations. It is observed that the neurocontroller reduced the vibration response of the flexible cantilever plate significantly; the results demonstrated the success and robustness of the neurocontroller independent of the type and distribution of the excitation force.