Abstract
In the FFT harmonic detection, the detection accuracy is reduced because of asynchronicity between the sampling frequency and the signal of base wave frequency. In order to improve the detection accuracy, a harmonic detection algorithm based on the fundamental frequency tracking is proposed. Firstly windowed interpolation FFT algorithm is used to detect signal of base wave frequency, then the fundamental frequency is tracked and the sampling frequency is dynamically adjusted. Finally, the signal sequence is obtained by quasi synchronous sampling with frequency multiplication technology, and amplitudes and phases of the signal are received with the FFT analysis. Because the sampling frequency synchronization error and the influence of frequency spectrum leakage are reduced, the detection accuracy is improved. This algorithm is applied to the electrical energy harmonic analysis with simple implementation and high accuracy.
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