scholarly journals Maximum Torque per Ampere Control of Permanent Magnet Synchronous Motor Using Genetic Algorithm

2011 ◽  
Vol 9 (2) ◽  
pp. 237 ◽  
Author(s):  
Farzad Tahami ◽  
Hamed Nademi ◽  
Mohammad Rezaei
Keyword(s):  
Genetic Algorithm ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Maximum Torque ◽  
Maximum Torque Per Ampere

scholarly journals Operational Improvement of Interior Permanent Magnet Synchronous Motor Using Fuzzy Field-Weakening Control

Electronics ◽  
2018 ◽  
Vol 7 (12) ◽  
pp. 452 ◽  
Author(s):  
Ming-Shyan Wang ◽  
Min-Fu Hsieh ◽  
and Hsin-Yu Lin
Keyword(s):  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Motor Speed ◽  
Maximum Torque ◽  
Field Weakening ◽  
Speed Range ◽  
Interior Permanent Magnet ◽  
Operational Improvement ◽  
Maximum Torque Per Ampere

This paper considers the fuzzy control design of maximum torque per ampere (MTPA) and maximum torque per voltage (MTPV) for the interior permanent magnet synchronous motor (IPMSM) control system that is capable of reducing computation burden, improving torque output, and widening the speed range. In the entire motor speed range, three control methods, i.e., the MTPA, flux weakening, and MTPV methods may be applied depending on current and voltage statuses. The simulation using MATLAB/Simulink is first conducted and then in order to speed up the development, hardware-in-the-loop (HIL) is adopted to verify the effectiveness of the proposed fuzzy MTPA and MTPV control for the IPMSM system.

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.

Sign in / Sign up

Export Citation Format

Share Document