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

Modeling and control of a Wind Energy Conversion System based on DFIG driven by a Matrix Converter

This paper presents the control study of a variable speed Wind Energy Conversion System (WECS) based on the Doubly Fed Induction Generator (DFIG). The generator is connected directly to grid by its stator and fed by a Matrix Converter (MC) at its wound rotor. The indirect vector control is adopted. The stator flux is oriented for controlling the power and current, which are regulated by PI controller via the pole placement technique, and the Venturini Modulation Method (VMM) is applied to control the MC. The performance of the whole system is verified by Matlab/Simulink simulation. Results in transient and steady-state regimes are presented to validate the effectiveness of the proposed wind conversion system. Results confirm the high performance of the control