Newton-Raphson-Based Searching Method for Variable-Parameters Inductance Maximum Torque Per Ampere Control Used for IPMSM

被引：0
|
作者：
Kang J. [1 ]
Wang S. [1 ]
机构：
[1] College of Electronics and Information, Tongji University, Shanghai
来源：
Diangong Jishu Xuebao/Transactions of China Electrotechnical Society | 2019年 / 34卷 / 08期
关键词：
Cross saturation; Magnetic saturation; Maximum torque per ampere control (MTPA); Newton-Raphson (N-R) algorithm; Permanent magnet synchronous motor (PMSM);
D O I：
10.19595/j.cnki.1000-6753.tces.180847
中图分类号：
学科分类号：
摘要：
For interior permanent magnet synchronous motor (IPMSM), the maximum torque per ampere control (MTPA) can produce maximum torque output under the minimum current conditions by making full use of the reluctance torque. However, the inductance of IPMSM has magnetic saturation and cross-saturation characteristics, and its parameters vary with current in practice. This requires a lot of tedious calibration and fitting work. In this paper, MTPA searching method with variable inductance parameters is proposed. By constructing inductance look-up-table (LUT) varying with current, a second-order Newton-Raphson (N-R) searching algorithm is used to convert the complex MTPA nonlinear relationship into iterative operation, which can be easily implemented by a microcontroller. In this way, MTPA current distribution accuracy is improved and the calibration work is simplified. The simulation and experiments verify the effectiveness of the proposed method. © 2019, Electrical Technology Press Co. Ltd. All right reserved.
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页码：1616 / 1625
页数：9
相关论文
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