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Vibration suppression of the horizontal flexible plate using proportional– integral–derivative controller tuned by particle swarm optimization

Hadi, M. Sukri and M. Darus, Intan Z. and Ab. Talib, Mat Hussin and Yatim, Hanim M. and Tokhi, M. Osman (2021) Vibration suppression of the horizontal flexible plate using proportional– integral–derivative controller tuned by particle swarm optimization. Journal of Low Frequency Noise Vibration and Active Control, 40 (3). pp. 1540-1557. ISSN 1461-3484

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Official URL: http://dx.doi.org/10.1177/1461348420934636

Abstract

This paper presents the development of an active vibration control for vibration suppression of the horizontal flexible plate structure using proportional–integral–derivative controller tuned by a conventional method via Ziegler–Nichols and an intelligent method known as particle swarm optimization algorithm. Initially, the experimental rig was designed and fabricated with all edges clamped at the horizontal position of the flexible plate. Data acquisition and instrumentation systems were designed and integrated into the experimental rig to collect input–output vibration data of the flexible plate. The vibration data obtained through experimental study was used to model the system using system identification technique based on auto-regressive with exogenous input structure. The plate system was modeled using particle swarm optimization algorithm and validated using mean squared error, one-step ahead prediction, and correlation tests. The stability of the model was assessed using pole zero diagram stability. The fitness function of particle swarm optimization algorithm is defined as the mean squared error between the measured and estimated output of the horizontal flexible plate system. Next, the developed model was used in the development of an active vibration control for vibration suppression on the horizontal flexible plate system using a proportional–integral–derivative controller. The proportional–integral–derivative gains are optimally determined using two different ways, the conventional method tuned by Ziegler–Nichols tuning rules and the intelligent method tuned by particle swarm optimization algorithm. The performances of developed controllers were assessed and validated. Proportional–integral–derivative-particle swarm optimization controller achieved the highest attenuation value for first mode of vibration by achieving 47.28 dB attenuation as compared to proportional–integral–derivative-Ziegler–Nichols controller which only achieved 34.21 dB attenuation.

Item Type:Article
Uncontrolled Keywords:intelligent controller, particle swarm optimization, system identification
Subjects:T Technology > TJ Mechanical engineering and machinery
Divisions:Mechanical Engineering
ID Code:94298
Deposited By: Yanti Mohd Shah
Deposited On:31 Mar 2022 15:29
Last Modified:31 Mar 2022 15:29

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