Adaptive ac filter parameters identification of three-phase PWM rectifiers

A new method for adaptive ac filter parameters identification of three phase pulse-width modulated rectifiers is presented in this paper. The proposed method is based on three adaptive linear neurons to identify online the ac filter resistances and inductances. The main advantage of this method is its simplicity and it requires low computational cost. The identification algorithm is implemented and three experimental tests have been realized in order to identify in real time the ac filter resistances and inductances. First test is performed in steady state operation. Two other tests are conducted to testing the track ability of the proposed method relative to parameters variations. Experimental results demonstrate that the proposed method provides accurate ac filter parameter values and tracks well the parameters variations. The obtained parameter values can be exploited for diagnosis purposes of ac filter status or in a control strategies.