Abstract：Aiming at the problem between convergence speed and steady-state accuracy of traditional fixed step size LMS algorithm for harmonic detection, a improved variable step size LMS harmonic detection algorithms with higher convergence speed is presented.This algorithm used autocorrelation estimate of the error signal e(n), e(n－1) in the same phase in two adjacent time to adjust step size, and used normalization method , the k(n) and k(n－1) are as new feedback, which k(n) and k(n－1) are the proportion of the error signal in the total current signal, then using coherence average estimate of the feedback amount to control the step size updating; by introducing the disturbance of the absolute estimation error to update the tapping vector of the self-adaptive filter in weight iteration formula. Finally, MATLAB/Simulink simulation and experimental results show that the method compared to conventional fixed step size LMS harmonic detection algorithm has good performance on the convergence speed and steady-state accuracy, especially the method has good tracking performance in load mutation.
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2016, Vol. 37 
