| Liu Yuxiang (刘宇翔),Yao Zhaolin,Yuan Fang,Liu Ming,Li Xiang,Zhang Xu.[J].高技术通讯(英文),2021,27(4):448~453 |
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| A neural network-based commutation optimization strategy and drive system design for brushless DC motor |
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| DOI：10.3772/j.issn.1006-6748.2021.04.014 |
| 中文关键词: |
| 英文关键词: brushless DC motor, senseless control, back electromotive force, neural network, hardware implantation, field programmable gate array (FPGA) |
| 基金项目: |
| Author Name | Affiliation | | Liu Yuxiang (刘宇翔) | (State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, P.R.China) | | Yao Zhaolin | (State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, P.R.China) | | Yuan Fang | (State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, P.R.China) | | Liu Ming | (State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, P.R.China) | | Li Xiang | (State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, P.R.China) | | Zhang Xu | (State Key Laboratory on Integrated Optoelectronics, Institute of Semiconductors, Chinese Academy of Sciences, Beijing 100083, P.R.China) |
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| 中文摘要: |
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| 英文摘要: |
| An optimized commutation method based on backpropagation (BP) neural network is proposed to resolve the low stability and high-power consumption caused by inaccurate commutation point prediction in conventional commutation strategy during acceleration and deceleration. This article also builds a complete brushless DC motor drive system based on the GD32F103 micro control unit (MCU), with an Artix-7 XC7A35T field programmable gate array (FPGA) to meet the performance requirements of neural network calculation for real-time motor commutation control. Experimental results show that the proposed optimization strategy can effectively improve the system stability during system acceleration and deceleration, and reduce the current spikes generated during speed changes. The system power consumption is reduced by about 11.7% on average. |
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