2020
DOI: 10.1049/iet-epa.2019.1042
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Model predictive combined vector and direct torque control of SM‐PMSM with MTPA and constant stator flux magnitude analysis in the stator flux reference frame

Abstract: This study presents a combined vector and direct torque control (CVDTC) for surface‐mounted permanent magnet synchronous motor (SM‐PMSM). The CVDTC method has a fast dynamic torque response without requiring any conventional PWM signal‐generators. Besides, it provides low‐speed control and standstill operation, torque and flux ripple reduction, minor switching frequency variations, and low computational burden. In this study, CVDTC is mathematically analysed in the stator flux reference frame and then both DTC… Show more

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Cited by 9 publications
(3 citation statements)
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References 24 publications
(46 reference statements)
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“…To make a precise evaluation, the root mean square error (RMSE) of the flux and torque is calculated in the following sections. These analyses are based on the subsequent equations [28, 29]: Tripbadbreak=1Ni=1NTeiTeave2\begin{equation}{T_{{\rm{rip}}}} = \sqrt {\frac{1}{N}\sum\nolimits_{i = 1}^N {{{\left( {{T_e}\left( i \right) - {T_{{\rm{e - ave}}}}} \right)}^2}} } \end{equation} λripbadbreak=1Ni=1Nλsiλsave2\begin{equation}{\lambda _{{\rm{rip}}}} = \sqrt {\frac{1}{N}\sum\nolimits_{i = 1}^N {{{\left( {{\lambda _s}\left( i \right) - {\lambda _{{\rm{s - ave}}}}} \right)}^2}} } \end{equation}where N , λsave${{{\lambda}}_{{\rm{s}} - {\rm{ave}}}}$, and Teave${T_{{\rm{e}} - {\rm{ave}}}}$ are the sample number and the average value of the flux and torque, respectively.…”
Section: Resultsmentioning
confidence: 99%
See 1 more Smart Citation
“…To make a precise evaluation, the root mean square error (RMSE) of the flux and torque is calculated in the following sections. These analyses are based on the subsequent equations [28, 29]: Tripbadbreak=1Ni=1NTeiTeave2\begin{equation}{T_{{\rm{rip}}}} = \sqrt {\frac{1}{N}\sum\nolimits_{i = 1}^N {{{\left( {{T_e}\left( i \right) - {T_{{\rm{e - ave}}}}} \right)}^2}} } \end{equation} λripbadbreak=1Ni=1Nλsiλsave2\begin{equation}{\lambda _{{\rm{rip}}}} = \sqrt {\frac{1}{N}\sum\nolimits_{i = 1}^N {{{\left( {{\lambda _s}\left( i \right) - {\lambda _{{\rm{s - ave}}}}} \right)}^2}} } \end{equation}where N , λsave${{{\lambda}}_{{\rm{s}} - {\rm{ave}}}}$, and Teave${T_{{\rm{e}} - {\rm{ave}}}}$ are the sample number and the average value of the flux and torque, respectively.…”
Section: Resultsmentioning
confidence: 99%
“…To make a precise evaluation, the root mean square error (RMSE) of the flux and torque is calculated in the following sections. These analyses are based on the subsequent equations [28,29]:…”
Section: Steady-state Analysis For All Analyzed Methodsmentioning
confidence: 99%
“…In addition, controller robustness is affected, since the calculation process involves motor parameters. In [39], Surface‐mounted PMSM (S‐PMSM) drive is operated by the combination of FOC and DTC. The stator flux and torque components are indirectly controlled by current components in the stator flux reference frame.…”
Section: Introductionmentioning
confidence: 99%