Predictive Power Control of Matrix Converter With Active Damping Function

In this paper, the predictive power control with active damping function is proposed for matrix converter (MC). In every sampling period, the values of load active power p(L), load reactive power q(L), and input reactive power q(i) at the period after next are predicted. The best switching state is selected based on the minimum cost function g for the next sampling time interval, where g is the sum of the absolute errors between the reference and the predicted values. Since p(L), q(L), and qi are equally important for MC control, their weighting factors are fixed at 1, rather than being adjusted empirically. On this basis, a novel active damping control strategy is realized by modifying the reference values of load active power and input reactive power. By applying the active damping function, the input filter resonances which are liable to be excited by predictive control are effectively suppressed. Experimental results have verified the feasibility and validity of the proposed strategy.