Active Vibration Control on Flexible Plate Structure using Bio-inspired Algorithm

This article presents the active vibration control with bio-inspired algorithms model based system utilising genetic algorithm (GA), particle swarm intelligence (PSO) and artificial immune system (AIS). The parameter of the model is estimated and the transfer function of the active vibration controller is characterized implementing GA with real coded execution, PSO with spreading factor and AIS implemented AiNet type of algorithms. The comparisons of AVC based bio inspired algorithms are validated using time and frequency domain response, mean squares of error and correlation tests. The performances of the algorithm are assessed through determination of dominant vibration modes using spectral density of the response.