Influence of MTPA Trajectory Evaluation on Synchronous Machines Performance

Interior permanent magnet machines are characterized by high efficiency over a wide speed range. The optimal performance of these motors can be achieved by implementing the appropriate control strategies: Maximum Torque per Ampere (MTPA), Flux Weakening (FW) and Maximum Torque per Volt (MTPV). The optimal MTPA control trajectories can be found with different methods employing an inductance based model or a flux based model. In principle, the two methods are the equivalent, however, the different numerical method for the evaluation of the control trajectory can lead to slightly different results. Four motors are chosen for the analysis: an IPM machine, a pure reluctance machine, a SPM machine and a reluctance assisted machine. The results obtained from the two the models are compared with 2D-FEA simultion results.

Authors

Institutions

Publication Details

Published
2025-04-09
DOI
https://doi.org/10.1109/wemdcd61816.2025.11014114
Primary Topic
Low-power high-performance VLSI design
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Influence of MTPA Trajectory Evaluation on Synchronous Machines Performance

Simone Ferrari, Matteo Davoli, Claudio Bianchini, Gianmario Pellegrino et al.
Low-power high-performance VLSI design
article

Influence of MTPA Trajectory Evaluation on Synchronous Machines Performance

Simone Ferrari, Matteo Davoli, Claudio Bianchini, Gianmario Pellegrino, Giada Sala
article en

Abstract

Interior permanent magnet machines are characterized by high efficiency over a wide speed range. The optimal performance of these motors can be achieved by implementing the appropriate control strategies: Maximum Torque per Ampere (MTPA), Flux Weakening (FW) and Maximum Torque per Volt (MTPV). The optimal MTPA control trajectories can be found with different methods employing an inductance based model or a flux based model. In principle, the two methods are the equivalent, however, the different numerical method for the evaluation of the control trajectory can lead to slightly different results. Four motors are chosen for the analysis: an IPM machine, a pure reluctance machine, a SPM machine and a reluctance assisted machine. The results obtained from the two the models are compared with 2D-FEA simultion results.

University of Modena and Reggio Emilia (IT), Politecnico di Torino (IT)
Affordable and clean energy
Openalex Percentile: Top 89%
Low-power high-performance VLSI design
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Influence of MTPA Trajectory Evaluation on Synchronous Machines Performance — Simone Ferrari, Matteo Davoli, et al. · (2025) | TGRS Research Map | TGRS