Adaptive Control of Venturini Modulation Based Matrix Converters Using Interval Type-2 Fuzzy Sets

In this paper, an adaptive interval type-2 fuzzy control scheme is proposed for matrix converters. This strategy combines the power of adaptive control theory with type-2 fuzzy logic systems to achieve accurate tracking and robustness to both structured and unstructured uncertainties. Unlike other control techniques, no a priori offline training, weights initialization, parameters, or dynamics’ knowledge is required. Results for different situations highlight the performance of the proposed controller in transient and steady-state conditions under grid voltage uncertainties. Furthermore, the adaptive type-2 fuzzy controller is compared against its type-1 counterpart.