| Summary: | Low energy consumption, light weight and quick system reaction are advantages of a flexible plate. Flexible plates, however are vulnerable to high vibration, which causes system failure. Vibrations can affect the stability and effectiveness of flexible plate structures as the vibrations generated in the system causes fatigue, noise, wear, human pain which all indirectly leading to the failure of such flexible plate structures. This research aims to reduce undesired vibrations which impair flexible plates’ performance to maintain system efficiency and longevity by implementing social spider optimization (SSO) as means to optimize the parametric values of a proportional-integral-derivative (PID) controller. Initially, the input-output vibration data was acquired experimentally. Then, the proposed controller was developed using swarm intelligence algorithm via a SSO algorithm in a MATLAB/Simulink environment. The performance of the designed controller was compared to conventional approaches for vibration suppression, also known as PID controller tuned by Ziegler-Nichols (PID-ZN) in terms of its lowest mean squared error (MSE) and high attenuation at the first mode of vibration. The robustness of the proposed controller is also assessed by introducing different types of disturbances to the controller. It was noticed that the PID controller tuned by SSO algorithm (PID-SSO) exhibited a superior performance by achieving higher attenuation level at the first mode of vibration which was the dominant mode of the system. PID-SSO controller successfully achieved an 26.93 dB attenuation level, equivalent to 26.02% of reduction percentage as compared to PID-ZN controller which exhibited a 12.80 dB attenuation level, equivalent to 12.38% of reduction percentage. © The Author(s), under exclusive license to Springer Nature Switzerland AG 2024.
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