Maximum torque per ampere control of IPMSM drive by fuzzy logic

Ming Shyan Wang, Min-Fu Hsieh, Ying Shieh Kung, Guan Ting Lin

研究成果: Article

摘要

This paper mainly focuses on studying the torque control with maximum torque per ampere (MTPA) technique based on fuzzy theory and without dealing with complex computation of torque control optimization for the interior permanent magnet synchronous motor (IPMSM). The IPMSM control system generally includes position, velocity and current loops. The speed command will compare with the actual speed sensed from an encoder to generate the inner-loop current command. Analog-to-digital converters (ADCs) receive the phase current data from current transducers so that the difference between the current commands and the sensed data will be processed to be the motor drive signals. In addition, the space vector pulse-width modulation (SVPWM) is employed in the firmware architecture of microcontroller unit (MCU). Generally, the MTPA spends considerable computation such that a high level chip is indispensable. This paper proposes fuzzy MTPA control to improve it. Finally, dsPIC30F4011 from Microchip based IPMSM drive system verifies the proposed method.

原文English
頁(從 - 到)19-26
頁數8
期刊Microsystem Technologies
24
發行號1
DOIs
出版狀態Published - 2018 一月 1

指紋

synchronous motors
Synchronous motors
permanent magnets
Permanent magnets
Fuzzy logic
logic
torque
Torque
Torque control
commands
Firmware
Digital to analog conversion
Vector spaces
Microcontrollers
Pulse width modulation
Transducers
firmware
vector spaces
pulse duration modulation
Control systems

All Science Journal Classification (ASJC) codes

  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics
  • Hardware and Architecture
  • Electrical and Electronic Engineering

引用此文

Wang, Ming Shyan ; Hsieh, Min-Fu ; Kung, Ying Shieh ; Lin, Guan Ting. / Maximum torque per ampere control of IPMSM drive by fuzzy logic. 於: Microsystem Technologies. 2018 ; 卷 24, 編號 1. 頁 19-26.
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Maximum torque per ampere control of IPMSM drive by fuzzy logic. / Wang, Ming Shyan; Hsieh, Min-Fu; Kung, Ying Shieh; Lin, Guan Ting.

於: Microsystem Technologies, 卷 24, 編號 1, 01.01.2018, p. 19-26.

研究成果: Article

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