Vibration suppression of the horizontal flexible plate using pid controller tuned by particle swarm optimisation
Tokhi, Mohammad Osman (2020). Vibration suppression of the horizontal flexible plate using pid controller tuned by particle swarm optimisation. Journal of Low Frequency Noise Vibration and Active Control.
|Authors||Tokhi, Mohammad Osman|
This paper presents the development of an active vibration control (AVC) for vibration suppression of the horizontal flexible plate structure using proportional-integral-derivative (PID) controller tuned by a conventional method via Ziegler-Nichols (ZN) and an intelligent method known as particle swarm optimization (PSO) 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 modelled using PSO 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 PSO 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 AVC for vibration suppression on the horizontal flexible plate system using a PID controller. The PID gains are optimally determined using two different ways, the conventional method tuned by Ziegler-Nichols (ZN) tuning rules and the intelligent method tuned by PSO algorithm. The performances of developed controllers were assessed and validated. PID-PSO controller achieved the highest attenuation value for first mode of vibration by achieving 47.28 dB attenuation as compared to PID-ZN controller which only achieved 34.21 dB attenuation.
|Keywords||Flexible structure; System identification; Particle swarm optimization; Active vibration control; Intelligent controller|
|Journal||Journal of Low Frequency Noise Vibration and Active Control|
|Publisher||SAGE Publications (UK and US)|
|Publication process dates|
|Accepted||26 May 2020|
|Deposited||20 Jun 2020|
|Accepted author manuscript|
CC BY 4.0
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