EVOLUTIONARY ADAPTIVE ACTIVE VIBRATION CONTROL

This paper presents an investigation into the development of an adapti ve active control mechanism for vibration suppression using genetic al gorithms (GAs). GAs are used to estimate the adaptive controller chara cteristics, where the controller is designed on the basis of optimal v ibration suppression using the plant model. This is realized by minimi zing the prediction error of the actual plant output and the model out put. A MATLAB GA toolbox is used to identify the controller parameters . A comparative performance of the conventional recursive least-square s (RLS) scheme and the GA is presented. The active vibration control s ystem is implemented with both the GA and the RLS schemes, and its per formance assessed in the suppression of vibration along a flexible bea m structure in each case.