Modulated Model Predictive Control For Modular Multilevel Ac/ac Converter

In this project, new modulated model predictive control (MMPC) methods are designed  for Modular multilevel converter AC power supply (MMC-ACPS) which are now commonly used in high power applications because of its exceptional features. MMPC method is used to improve the steady state multi-objective current tracking performance. In the proposed techniques, regulated vectors succession is utilized, yield voltage levels of upper and lower arms are consolidated and represented by vectors in the current increments plane initially. Next , the plane is partitioned into eight divisions as per the predictive tracking errors of input current  and circling current. After finding divisions, an adjusted vector sequence, comprising of one zero vector and two active vectors, is chosen to dispense with these current tracking errors at the same time at end of each control period. Duty cycles of the three chose vectors are determined based on the rule of numerous current tracking errors minimization. Optimized vector determination methodologies are outlined in detail for the proposed MMPC. Since just the adjoining nine vectors are used in the proposed strategies, the calculation amount  is reasonable and the dv/dt of the yield voltage is additionally restricted. At last, steady state and dynamic behavior of the proposed control strategies are confirmed by test results.