控制理论(社会学)
梯度下降
安培
缩小
扭矩
计算机科学
下降(航空)
电压
功率(物理)
理论(学习稳定性)
永磁同步电动机
功率损耗
算法
控制(管理)
工程类
物理
人工智能
量子力学
航空航天工程
机器学习
人工神经网络
电气工程
热力学
程序设计语言
作者
Hongyi Yang,Xiaoyan Huang,Qidi Shen,Zhaokai Li,Min Wu
出处
期刊:IEICE Electronics Express
[Institute of Electronics, Information and Communication Engineers]
日期:2022-03-08
卷期号:19 (7): 20220069-20220069
被引量:3
标识
DOI:10.1587/elex.19.20220069
摘要
This paper proposes a loss minimization control method based on improved gradient descent algorithm (GDA) for interior permanent magnet synchronous machine (IPMSM). Since the power of PMSM is derived from the measured phase voltage and current, this method is independent from the iron loss model containing motor parameters. Meanwhile, it can guarantee the stability of PMSM system when entering the searching period. Both maximum torque per ampere (MTPA) and id=0 control are carried out to validate the effectiveness of the proposed method. The experimental results are demonstrated to verify the proposed approach.
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