Model Predictive Control based on Dynamic Voltage Vectors for Six-phase Induction Machines

Model predictive control (MPC) has been recently suggested as an interesting alternative for the regulation of multiphase electric drives because it easily exploits the inherent advantages of multiphase machines. However, the standard MPC applies a single switching state during the whole sampling period, inevitably leading to an undesired x y voltage production. Consequently, its performance can be highly degraded when the stator leakage inductance is low. This shortcoming has been, however, mitigated in recent work with the implementation of virtual/synthetic voltage vectors (VVs) in MPC strategies. Their implementation reduces the phase current harmonic distortion since the average x y voltage production becomes null. Nevertheless, VVs have a static nature because they are generally estimated offline, and this implies that the flux/torque regulation is suboptimal. Moreover, these static VVs also present some limitations from the point of view of the dc-link voltage exploitation. Based on these previous limitations, this article proposes the implementation of dynamic virtual voltage vectors (DVVs), where VVs are created online within the MPC strategy. This new concept provides an online optimization of the output voltage production depending on the operating point, resulting in an enhanced flux/torque regulation and a better use of the dc-link voltage. Experimental results have been employed to assess the goodness of the proposed MPC based on DVVs.Ministerio de Ciencia, Innovación y Universidades RTI2018-096151-B-100

Adaptive Cost Function FCSMPC for 6-Phase IMs

In this paper, an adaptive cost function FCSMPC is derived from newly obtained results concerning the distribution of figures of merits used for the assessment of stator current model-based control of multi-phase induction machines. A parameter analysis of FCSMPC is carried out for the case of a six-phase motor. After extensive simulation and Pareto screening, a new structure has been discovered linking several figures of merit. This structure provides an simple explanation for previously reported results concerning the difficulty of cost function tuning for FCSMPC. In addition, the newly discovered link among figures of merit provides valuable insight that can be used for control design. As an application, a new cost function design scheme is derived and tested. This new method avoids the usual and cumbersome procedure of testing many different controller parameters.Unión Europea RTI2018-101897-B-I00Ministerio de Ciencia e Innovación RTI2018-101897-B-I00Agencia Estatal de Investigación RTI2018-101897-B-I0

Control of six-phase voltage source converters using dynamic voltage vectors

The use of a single switching state during the whole sampling period in the current regulation of six-phase voltage source converters (VSCs) inevitably generates undesired parasitic - currents. Aiming to solve this problem, the creation of virtual/synthetic voltage vectors (VVs) has been recently proposed to ensure zero average - voltage production. However, the off-line calculation of VVs makes them static and suboptimal. This paper introduces new approach where the virtual voltages are created on-line within a model predictive control (MPC) based current regulation strategy. Since the selection of the switching states and the dwell times varies each sampling period, the resulting vector are termed dynamic voltage vectors (DVVs). This new concept allows an online optimization of the output voltage production depending on the operating point at the expense of a higher computational cost. Simulation results confirm that six-phase VSCs can be successfully regulated using DVVs in an MPC-based current control scheme.The use of a single switching state during the whole sampling period in the current regulation of six-phase voltage source converters (VSCs) inevitably generates undesired parasitic - currents. Aiming to solve this problem, the creation of virtual/synthetic voltage vectors (VVs) has been recently proposed to ensure zero average - voltage production. However, the off-line calculation of VVs makes them static and suboptimal. This paper introduces new approach where the virtual voltages are created on-line within a model predictive control (MPC) based current regulation strategy. Since the selection of the switching states and the dwell times varies each sampling period, the resulting vector are termed dynamic voltage vectors (DVVs). This new concept allows an online optimization of the output voltage production depending on the operating point at the expense of a higher computational cost. Simulation results confirm that six-phase VSCs can be successfully regulated using DVVs in an MPC-based current control scheme.IEEE Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech