BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//modelica.simtek.cc//amfc2026//talk//C9UW7A
BEGIN:VTIMEZONE
TZID:CST
BEGIN:STANDARD
DTSTART:20000101T000000
RRULE:FREQ=YEARLY;BYMONTH=1
TZNAME:CST
TZOFFSETFROM:+0800
TZOFFSETTO:+0800
END:STANDARD
END:VTIMEZONE
BEGIN:VEVENT
UID:pretalx-amfc2026-C9UW7A@modelica.simtek.cc
DTSTART;TZID=CST:20260921T135000
DTEND;TZID=CST:20260921T141500
DESCRIPTION:The strong coupling\, nonlinearity\, and multi-physicaldomain n
 ature of permanent magnet synchronous motor (PMSM) drive systems pose sign
 ificant challenges to unified modeling and control-strategy verification. 
 To address these challenges\, this paper proposes a system-level modeling 
 frame-work for PMSM control methods based on the Modelica language. By exp
 loiting Modelica's object-oriented\, acausal\, and equation-based modeling
  features\, the proposed framework provides modular encapsulation of the m
 otor\, inverter\, modulation strategy\, and thermal network under a unifie
 d physical-connection architecture. First\, a basic component library is d
 eveloped\, including the d– q current controller\, the Clark/Park transf
 ormations\, and space-vector pulse-width modulation (SVPWM). On this basis
 \, a PMSM vector control model is established\, achieving the approximate 
 decoupled control of the d- and q-axis currents. Furthermore\, equivalent 
 thermal models are constructed for different cooling configurations to cha
 racterize the temperature rise caused by copper\, iron\, and permanent-mag
 net losses. Finally\, a maximum-torque-per-ampere (MTPA) control model is 
 introduced to improve current utilization and overall system efficiency. S
 imulation results verify the modularity\, scalability\, and reusability of
  the proposed framework\, and demonstrate its capability to serve as a uni
 fied platform for multi-physical-domain co-simulation and control-strategy
  verification of PMSM drive systems. Keywords—Permanent magnet synchrono
 us motor (PMSM)\, Modelica\, vector control\, maximum torque per ampere (M
 TPA)\, multi-physical-domain modeling.
DTSTAMP:20261004T074227Z
LOCATION:(Electric) Mobility & Buildings (R2003)
SUMMARY:Modelica-Based Modeling of PMSM Control Methods - Yuang Yang\, Hong
 you Zhong\, Yang Qi
URL:https://modelica.simtek.cc/amfc2026/talk/C9UW7A/
END:VEVENT
END:VCALENDAR