a comparative evaluation of model predictive current controlled matrix converter versus ac-dc-ac converter

Background and objectives: due to the disadvantages of the traditional ac-dc-ac converters, especially in electric drive applications, matrix converters (mcs) have been widely researched. mcs are well-known structures that remove the dc-link capacitor and provide bidirectional power flow, while also giving the ability to control reactive power flow, which the ac-dc-ac converter lacks. methods: in this work, model predictive current control (mpcc) is utilized in conjunction with the mc to provide more versatility and controllability than traditional control methods. the work endeavors to investigate the current control of the mc utilizing the finite control set model predictive control (mpc) approach. results: current tracking performance, reactive power control, and switching frequency minimization have been included in the objective function of the controller. moreover, the results have been compared to the traditional ac-dc-ac converters under similar circumstances. the mc can reduce the switching frequency by 40% compared to the ac-dc-ac converter while maintaining the same current thd value. additionally, it achieves a 58% reduction in current thd compared to the ac-dc-ac converter at the same average switching frequency. however, in the mc, the mitigation of reactive power and the reduction in switching frequency have opposing effects on the current tracking performance.conclusion: this work proposes an mpcc method for the mc with an rl load, effectively controlling load current and reactive power. the reduction of switching commutations was also evaluated using different weighting factors in the prediction strategy for both the mc and ac-dc-ac converters. simulation results demonstrate that the mc outperforms the ac-dc-ac converter in dynamic response and reactive power control.