Tuning of RLS-active vibration controller using genetic algorithm

This paper presents a recursive least-squares (RLS)-model based active vibration control (AVC) system with genetic algorithm (GA) self tuning. Tuning parameters include initial regression vectors, gain of RLS-model and gain of controller. The system employs a single-input single-output (SISO) control configuration, and is realised within the Matlab/Simulink environment. In the paper, the parameters of RLS-AVC system are tuned so as to achieve effective vibration suppression. The approach is tested with pseudo random binary sequence (PRBS) disturbance signal acting on a plate to access the effectiveness of the approach in reducing the vibration of the plate.