Active neuro-adaptive vibration suppression of a smart beam

Date

2017-12-01

Author

Akin, Onur
Şahin, Melin

Metadata

Show full item record

This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

Item Usage Stats

193
views

0
downloads

In this research, an active vibration suppression of a smart beam having piezoelectric sensor and actuators is investigated by designing separate controllers comprising a linear quadratic regulator and a neural network. Firstly, design of a smart beam which consists of a cantilever aluminum beam with surface bonded piezoelectric patches and a designed mechanism having a micro servomotor with a mass attached arm for obtaining variations in the frequency response function are presented. Secondly, the frequency response functions of the smart beam are investigated experimentally by using different piezoelectric patch combinations and the analytical models of the smart beam around its first resonance frequency region for various servomotor arm angle configurations are obtained. Then, a linear quadratic regulator controller is designed and used to simulate the suppression of free and forced vibrations which are performed both in time and frequency domain. In parallel to simulations, experiments are conducted to observe the closed loop behavior of the smart beam and the results are compared as well. Finally, active vibration suppression of the smart beam is investigated by using a linear controller with a neural network based adaptive element which is designed for the purpose of overcoming the undesired consequences due to variations in the real system.

Subject Keywords

Active vibration suppression, System identification, Piezoelectricity, Linear quadratic regulator, Performance comparison, Artificial neural network

URI

https://hdl.handle.net/11511/41485

Journal

SMART STRUCTURES AND SYSTEMS

DOI

https://doi.org/10.12989/sss.2017.20.6.657

Collections

Department of Aerospace Engineering, Article

Suggestions

OpenMETU
Core

Active neuro-adaptive control of a smart beam having uncertainties in structural dynamics Akın, Onur; Şahin, Melin; Department of Aerospace Engineering (2015) In this thesis, an active vibration suppression of a smart beam having piezoelectric sensor and actuators is investigated by designing separate controllers comprising a linear quadratic regulator and a neural network. At first, design of a smart beam which consists of a cantilever aluminum beam with surface bonded piezoelectric patches and a designed mechanism having a micro servomotor with a mass attached arm for obtaining variations in the frequency response function are presented. Secondly, the frequency...
Active vibration suppression of a smart beam via self sensing piezoelectric actuator Uğur, Arıdoğan; Şahin, Melin; Yaman, Yavuz; Volkan, Nalbantoğlu (null; 2009-08-17) In this paper, an active vibration suppression of a smart beam using self-sensing piezoelectric actuator is presented. The smart beam is composed of a cantilever aluminium beam with four surface-bonded piezoelectric patches symmetrically located both side of the beam. Piezoelectric materials can transform mechanical deformation to electric signal and vice versa. This property of piezoelectric materials enables them to be used as an actuator and a sensor. In self-sensing actuator configuration, the piezoelec...
Active Vibration Suppression of a Smart Beam by Using an LQG Control Algorithm Onat, Cem; Şahin, Melin; Yaman, Yavuz (2011-06-22) The aim of this study was to design and experimentally apply a Linear Quadratic Gaussian (LQG) controller for the active vibration suppression of a smart beam. The smart beam was a cantilever aluminum beam with eight symmetrically located surface-bonded PZT (Lead-Zirconate-Titanate) patches which were utilized both as sensor or actuator depending on their location. A group of PZT patches closed to the root of the beam was used as actuators in the bimorph configuration and a single patch was nominated as a s...
Optimal Control of a Smart Beam by Using a Luenberger Observer Onat, Cem; Şahin, Melin; Yaman, Yavuz (2013-06-26) This paper presents the design of an optimal vibration control mechanism, namely an LQR controller, with a Luenberger observer for a smart beam having surface bonded piezoelectric sensors and actuators. The approach intends to suppress the vibrations of the first flexural resonance of the smart beam. The smart beam studied was a cantilever aluminium beam with eight surface bonded Lead-Zirconate-Titanate (PZT) patches in bimorph configuration. The smart beam was excited at its first resonance frequency (appr...
Active Vibration Control of a Smart Fin Ülker, Fatma Demet; Nalbantoğlu, Volkan; Yong, Chen; Davıd, Zımcık; Yaman, Yavuz (2009-05-04) This paper summarizes the design and wind tunnel experimental verifications of robust H∞ controllers for active vibration suppression of a dynamically scaled F-18 vertical smart fin. The smart fin consists of a cantilevered aluminium plate structure with surface bonded piezoelectric (Lead-Zirconate-Titanete, PZT) patches, Integrated Circuit Piezoelectric (ICP) type accelerometers and strain gauges. For H∞ controller design, the transfer function of the fin was first estimated outside the wind tunnel. Then, ...

Citation Formats

O. Akin and M. Şahin, “Active neuro-adaptive vibration suppression of a smart beam,” SMART STRUCTURES AND SYSTEMS, pp. 657–668, 2017, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/41485.