Abstract
An adaptive filter control method based on Recursive Least Squares( RLS) was proposed for solving the low convergence speed of Filtered-X Least Mean Square( FXLMS) and Filtered-U Least Mean Square( FULMS) algorithms. It was roughly composed of two parts: Infinite Impulse Response( IIR) filter and RLS algorithm. IIR filter was as the main frame of the whole algorithm and adjusted the filter weights in real-time to realize the adaptive filter control. Seen from the analysis and comparison, the algorithm has higher convergence speed and the overall vibration response of the controlled object drops by about 65%, which full proves the validation and feasibility of the algorithm.
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