Vibration suppression of the horizontal flexible plate using proportional– integral–derivative controller tuned by particle swarm optimization
Journal article
Hadi, M., Darus, Intan ZM, Ab.Talib, M., 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. https://doi.org/10.1177/1461348420934636
| Authors | Hadi, M., Darus, Intan ZM, Ab.Talib, M., Yatim, Hanim M and Tokhi, M Osman |
|---|---|
| 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. |
| Keywords | Mechanical Engineering; Geophysics; Mechanics of Materials; Acoustics and Ultrasonics; Building and Construction; Civil and Structural Engineering |
| Year | 2021 |
| Journal | Journal of Low Frequency Noise Vibration and Active Control |
| Journal citation | 40 (3), pp. 1540-1557 |
| Publisher | Sage |
| ISSN | 1461-3484 |
| 2048-4046 | |
| Digital Object Identifier (DOI) | https://doi.org/10.1177/1461348420934636 |
| Funder/Client | FRGS-RACER |
| Publication dates | |
| Online | 12 Jan 2021 |
| Publication process dates | |
| Accepted | 26 May 2020 |
| Deposited | 20 Jun 2020 |
| Publisher's version | License File Access Level Open |
| Accepted author manuscript | License File Access Level Open |
| Page range | 146134842093463 |
Permalink -
https://openresearch.lsbu.ac.uk/item/89z98
Download files
Publisher's version
| fspor-02-614559.pdf | ||
| License: CC BY 4.0 | ||
| File access level: Open | ||
Accepted author manuscript
| Hadi et al_LFN_May 2020.pdf | ||
| License: CC BY 4.0 | ||
| File access level: Open | ||
202
total views240
total downloads2
views this month1
downloads this month