Current Harmonic Mitigation Using a Multi-Vector Solution for MPC in Six-Phase Electric Drives

Abstract

Multiphase machines offer some interesting features to develop more-competitive electric drives. However, the control complexity increases due to the higher number of freedom degrees. Specifically, the regulation of secondary currents becomes critical to avoid an unacceptable harmonic distortion of phase currents. In this regard, standard finite-control-set model predictive control (FCS-MPC) is characterized by a limited capability to provide a suitable current quality, since a single switching state is applied per control cycle. In order to reduce the current harmonic content and retain the well-known FCS-MPC advantages, the use of a multi-vector approach has been recently explored in the field of multiphase electric drives. Following this trend, this work develops a simplified FCS-MPC version with a new generation of virtual voltage vectors (VV) that are used as control actions. The switching states that form the proposed VV provide null average x − y voltages and reduced instantaneous injection of these secondary components. The capability of the suggested VV-based FCS-MPC strategy to mitigate the x−y injection is experimentally tested and compared to field-oriented control (FOC) using carrier-based pulse width modulation (CB-PWM) and diverse FCS-MPC schemes.

Guiding the Selection of Multi-Vector Model Predictive Control Techniques for Multiphase Drives

“…However, MPC based on the application of a single switching state per control period presents an unacceptable current quality. Fortunately, this undesirable harmonic content has been mitigated with the development of multi-vector solutions [22][23][24][25][26][27][28][29][30][31][32][33]. In fact, ref.…”

“…Regardless of the selected family of controllers, it can be concluded that the last decade has witnessed success, where a high number of more competitive control techniques have been developed in diverse application fields such as renewable energy application [34] or electrical propulsion [35,36]. The most popular procedure in the field of electric drives to illustrate the goodness of an original proposal of the state of the art is an experimental comparison using a benchmark method as a basis for the verification [23][24][25][26][27][28][29][30][31][32][33]37,38]. Focusing on the necessary validation process, it is also common to carry out the mentioned comparison on a single test bench where the electric machine is characterized by specific values of its electrical parameters [18,20,[22][23][24][25][26][27]31].…”

“…The most popular procedure in the field of electric drives to illustrate the goodness of an original proposal of the state of the art is an experimental comparison using a benchmark method as a basis for the verification [23][24][25][26][27][28][29][30][31][32][33]37,38]. Focusing on the necessary validation process, it is also common to carry out the mentioned comparison on a single test bench where the electric machine is characterized by specific values of its electrical parameters [18,20,[22][23][24][25][26][27]31]. Taking into account this last issue, a reasonable doubt can appear regarding the universality of the obtained conclusions.…”

Model predictive sliding mode control of six‐phase induction motor using nine‐switch converter

“…A constant current/voltage control strategy with the interleaving modulation technique has been proposed in Subotic et al 1 to meet the grid standards. A simplified direct torque control (DTC) strategy has been introduced in Pandit et al 2 Furthermore, a predictive control strategy, 3 modulated model predictive control (M 2 PC) method, 4 an intelligent voltage vectors‐based model predictive control (MPC) routine, 5 current harmonic mitigation method using a multi‐vector solution, 6 and a predictive DTC strategy with fault‐tolerant function 7 have been reported for six‐phase induction machines.…”

Effect of Winding Design on the Performance of Predictive Current Control of Six-Phase Induction Machine-Based Propulsion Systems

“…One of the silent characteristics of SPIM is the poor quality of phase current waveform due to circulating 𝑥𝑥𝑥𝑥 current components, which is even more problematic under direct controllers, such as model predictive control (MPC) [14,17]. The available literature has proposed two approaches to tackle this problem: enhanced machine design-based and enhanced control-based approaches.…”