TY - GEN
T1 - A Novel Newton-Raphson-Based Searching Method for the MTPA Control of Pmasynrm Considering Magnetic and Cross Saturation
AU - Wang, Shuo
AU - Degano, Michele
AU - Kang, Jinsong
AU - Galassini, Alessandro
AU - Gerada, Chris
N1 - Publisher Copyright:
© 2018 IEEE.
PY - 2018/10/24
Y1 - 2018/10/24
N2 - Maximum torque per ampere control (MTPA) takes full advantage of the reluctance torque aiming at the minimum copper loss, which can increase the torque output under the minimum current conditions. The traditional MTPA method makes use of equations with constant inductance values which are implemented as look-up tables. However, the inductances of the motor present both magnetic saturation and cross-saturation characteristics. Those parameters are changing depending on the operating point. This paper presents a novel MTP A control strategy of permanent-magnet assisted synchronous reluctance motor (PMaSynRM) implementing a Newton-Raphson-Based Searching Method for improving the control accuracy for optimal current reference. The proposed method eliminates the need of fitting operations due to the nonlinearity of the MTP A formulation and takes the inductance variation, due to magnetic saturation, into account. Finally, the effectiveness of the proposed method is verified by means of Matlab/Simulink simulations.
AB - Maximum torque per ampere control (MTPA) takes full advantage of the reluctance torque aiming at the minimum copper loss, which can increase the torque output under the minimum current conditions. The traditional MTPA method makes use of equations with constant inductance values which are implemented as look-up tables. However, the inductances of the motor present both magnetic saturation and cross-saturation characteristics. Those parameters are changing depending on the operating point. This paper presents a novel MTP A control strategy of permanent-magnet assisted synchronous reluctance motor (PMaSynRM) implementing a Newton-Raphson-Based Searching Method for improving the control accuracy for optimal current reference. The proposed method eliminates the need of fitting operations due to the nonlinearity of the MTP A formulation and takes the inductance variation, due to magnetic saturation, into account. Finally, the effectiveness of the proposed method is verified by means of Matlab/Simulink simulations.
KW - Cross-Saturation
KW - MTPA control
KW - Magnetic Saturation
KW - Newton-Raphson Algorithm
KW - PM assisted Reluctance Motor
UR - http://www.scopus.com/inward/record.url?scp=85057148216&partnerID=8YFLogxK
U2 - 10.1109/ICELMACH.2018.8506853
DO - 10.1109/ICELMACH.2018.8506853
M3 - Conference contribution
AN - SCOPUS:85057148216
T3 - Proceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018
SP - 1360
EP - 1366
BT - Proceedings - 2018 23rd International Conference on Electrical Machines, ICEM 2018
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 23rd International Conference on Electrical Machines, ICEM 2018
Y2 - 3 September 2018 through 6 September 2018
ER -