Abstract
As research in matrix converters (MCs) has progressed over time, space vector modulation has emerged as the most popular technique for their modulation. Lately, model predictive control (MPC) has also been explored for the modulation and control of MCs, primarily gaining popularity due to the ease in realization of multiple objectives, as desired in MCs. However, multi-objective MPC employs assignment of weights to each control objective, wherein weight tuning is either empirical in nature or computationally cumbersome. This paper proposes a new modulation technique for MCs, inspired from delta sigma modulation for voltage source converters, that can be used for load voltage and source current control of MCs. Since source currents are samples of the load current envelope, it is required that this envelope be known for the control of source current. To eliminate load current sensors, predictive model of the load is used in envelope estimation. Further, independent switching schemes are generated for each objective, and an error minimization approach is used in integrating the two schemes into a final state selection, hence eliminating weighing factors. Unlike MPC, error predictions for all states of MCs, are not needed, hence facilitating easier implementation without significant processor burden, besides ensuring the quality of response.
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