Multi-Virtual-Vector Model Predictive Current Control for Dual Three-Phase PMSM

Abstract

This paper proposes a multi-virtual-vector model predictive control (MPC) for a dual three-phase permanent magnet synchronous machine (DTP-PMSM), which aims to regulate the currents in both fundamental and harmonic subspace. Apart from the fundamental α-β subspace, the harmonic subspace termed x-y is decoupled in multiphase PMSM according to vector space decomposition (VSD). Hence, the regulation of x-y currents is of paramount importance to improve control performance. In order to take into account both fundamental and harmonic subspaces, this paper presents a multi-virtual-vector model predictive control (MVV-MPC) scheme to significantly improve the steady performance without affecting the dynamic response. In this way, virtual vectors are pre-synthesized to eliminate the components in the x-y subspace and then a vector with adjustable phase and amplitude is composed of two effective virtual vectors and a zero vector. As a result, an enhanced current tracking ability is acquired due to the expanded output range of the voltage vector. Lastly, both simulation and experimental results are given to confirm the feasibility of the proposed MVV-MPC for DTP-PMSM.

Reduction of DC Capacitor Size in Three-Phase Input/Single-Phase Output Power Cells of Multi-Cell Converters through Resonant and Predictive Control: A Characterization of Its Impact on the Operating Region

“…with I max o,nc representing the maximum output current without ripple compensation. This output current for the non-compensated case is calculated replacing (31) and ( 32) in (33), obtaining:…”

“…The results show that the value of G I o is unaffected by changes in the inverter modulation index, in contrast to when the average DC voltage is changed, where a higher value of the capacitor voltage results in a higher value of G I o . According to (31) and (33), the increase in V dc decreases the amplitude of the fundamental component of the rectifier modulation signal, thereby increasing the available range to achieve the required amplitude of the harmonic components as indicated by (30). Figure 3b shows how the value of G I o varies in response to changes in the input quadrature current, i q s .…”

“…Indeed, among high bandwidth controllers for power converters, predictive control strategies have been in high development during at least the past ten years due to the increase in hardware capability that allows the implementation of elaborate algorithms with a high computational burden [26][27][28][29][30]. In particular, the FCS-MPC strategy stands out by its simple and intuitive implementation [31] and the continuous research for new solutions that allow improving characteristics related to parameter mismatch [32][33][34], switching frequency [35,36], harmonic spectra [31,[37][38][39][40], and steady-state error [41][42][43], among others. Thus, FCS-MPC results in an attractive strategy to be considered for power converters applications and has been selected in this paper to be used in the mitigation of the second harmonic in the CHB converter's capacitor bank.…”

Multi-Adjustment Strategy for Phase Current Reconstruction of Permanent Magnet Synchronous Motors Based on Model Predictive Control

“…In model predictive control, FCS-MPC does not need a modulator, has fast a dynamic response, and can directly utilize the discrete characteristics of the converter and the finite switching state [22]. Reference [23] proposes a multi-virtual-vector model predictive control for a dual three-phase permanent magnet synchronous machine (DTP-PMSM), which can regulate the currents in both fundamental and harmonic subspace.…”