Parametric modelling of flexible plate structures using real-coded genetic algorithms

This paper presents parametric modelling of flexible plate structures using real-coded genetic algorithms (RCGA). The global optimization technique of RCGA is utilized to obtain a dynamic model of a flexible plate structure based on one-step-ahead (OSA) prediction. The structure is subjected to three different disturbance signal types, namely random, pseudo random binary sequence (PRBS), and finite duration step. The fitness function for the RCGA optimization is the mean-squared error (MSE) between the measured and estimated outputs of the plate. The validation of the algorithm is presented in both time and frequency domains. The developed RCGA modelling approach will be used for active vibration control systems design and development in future work.