scholarly journals Iron loss in permanent-magnet brushless AC machines under maximum torque per ampere and flux weakening control

2002 ◽  
Vol 38 (5) ◽  
pp. 3285-3287 ◽  
Author(s):  
Z.Q. Zhu ◽  
Y.S. Chen ◽  
D. Howe
Keyword(s):  
Permanent Magnet ◽  
Iron Loss ◽  
Maximum Torque ◽  
Ac Machines ◽  
Maximum Torque Per Ampere ◽  
Flux Weakening Control ◽  
Flux Weakening

scholarly journals Interior Permanent Magnet Synchronous Motor Drive System with Machine Learning-Based Maximum Torque per Ampere and Flux-Weakening Control

Energies ◽  
2021 ◽  
Vol 14 (2) ◽  
pp. 346
Author(s):  
Faa-Jeng Lin ◽  
Yi-Hung Liao ◽  
Jyun-Ru Lin ◽  
Wei-Ting Lin
Keyword(s):  
Machine Learning ◽  
Permanent Magnet ◽  
Output Voltage ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Drive System ◽  
Maximum Torque ◽  
Interior Permanent Magnet ◽  
Maximum Torque Per Ampere ◽  
Flux Weakening

An interior permanent magnet synchronous motor (IPMSM) drive system with machine learning-based maximum torque per ampere (MTPA) as well as flux-weakening (FW) control was developed and is presented in this study. Since the control performance of IPMSM varies significantly due to the temperature variation and magnetic saturation, a machine learning-based MTPA control using a Petri probabilistic fuzzy neural network with an asymmetric membership function (PPFNN-AMF) was developed. First, the d-axis current command, which can achieve the MTPA control of the IPMSM, is derived. Then, the difference value of the dq-axis inductance of the IPMSM is obtained by the PPFNN-AMF and substituted into the d-axis current command of the MTPA to alleviate the saturation effect in the constant torque region. Moreover, a voltage control loop, which can limit the inverter output voltage to the maximum output voltage of the inverter at high-speed, is designed for the FW control in the constant power region. In addition, an adaptive complementary sliding mode (ACSM) speed controller is developed to improve the transient response of the speed control. Finally, some experimental results are given to demonstrate the validity of the proposed high-performance control strategies.

scholarly journals Feedback Linearization and Maximum Torque per Ampere Control Methods of Cup Rotor Permanent-Magnet Doubly Fed Machine

Energies ◽  
2021 ◽  
Vol 14 (19) ◽  
pp. 6402
Author(s):  
Jianning Shi ◽  
Chaoying Xia
Keyword(s):  
Permanent Magnet ◽  
Feedback Linearization ◽  
Control Method ◽  
Control Methods ◽  
Load Torque ◽  
Maximum Torque ◽  
Feedback Linearization Control ◽  
Doubly Fed ◽  
Maximum Torque Per Ampere ◽  
Doubly Fed Machine

This paper establishes the state-space model of the cup rotor permanent-magnet doubly fed machine in the synchronous reference frame. The feedback-linearization control method is used to realize the decoupling control of flux and torque. Then, the upper and lower load torque boundaries are solved. Furthermore, to minimize the stator current magnitude of the control machine under a certain torque, the maximum torque per ampere (MTPA) control is derived. Finally, simulation results demonstrate the good decoupling performance of the feedback-linearization control method and the correctness of the load torque boundaries. In addition, the effectiveness and robustness of the proposed control methods are also demonstrated.

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