Experimental Verification and Comparison of MAFC Method and D-Q Method for Selective Harmonic Detection

This paper reviews two popular harmonic detection methods for power electronics applications. One is a d-q method, which dominates the three-phase active filter and STATCOM applications and the other one is a multiple adaptive feed forward cancellation (MAFC) method. The latter one is also called an adaptive neuron method, neural network method or Adaline method. The novelty of this paper is that it presents experimental results, which is rare in the literature. This paper first gives an introduction of MAFC method from adaptive control point of view. Then realtime (RT) implementation of two methods is introduced and realtime hardware in the loop tests (HIL) are fully performed to compare these two methods. Finally, experimental results using these two methods on a diode rectifier front end motor drive and a thyristor rectifier dc drive are presented. Both steady state and dynamic performances of these two methods are compared. The comparison results give guidance for using these two methods for power electronics applications like active filter or STATCOM