BEGIN:VCALENDAR
VERSION:2.0
PRODID:-//pretalx//modelica.simtek.cc//amfc2026//speaker//UL7BGW
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:20261004T070811Z
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
BEGIN:VEVENT
UID:pretalx-amfc2026-XCCF77@modelica.simtek.cc
DTSTART;TZID=CST:20260921T141500
DTEND;TZID=CST:20260921T144000
DESCRIPTION:Induction motors are highly preferred in electric vehicle (EV) 
 applications due to robustness. This paper presents a comprehensive study 
 on the vector control of an induction motor for EV applications. To achiev
 e precise closed-loop speed and torque regulation\, the mechanical angular
  speed of the rotor is obtained through a quadrature encoder. In addition 
 to this\, a magnetic flux estimator is implemented to provide the real-tim
 e flux information. The mathematical model and control for a motor drive s
 ystem are established. To validate the effectiveness of the typical vector
  control\, a real-time Hardware-in-the-Loop (HIL) test is conducted\, wher
 e the power circuit and control strategies are both simulated by the PLECS
  RT Box. The HIL results verify the stability\, dynamic response\, and ove
 rall effectiveness of the proposed vector control scheme for EV drivetrain
 s.
DTSTAMP:20261004T070811Z
LOCATION:(Electric) Mobility & Buildings (R2003)
SUMMARY:Hardware-in-Loop Testing of an Induction Machine Drive System - Yan
 g Qi\, Hongyou Zhong\, Yuang Yang
URL:https://modelica.simtek.cc/amfc2026/talk/XCCF77/
END:VEVENT
END:VCALENDAR