控制理论(社会学)
电感
偏移量(计算机科学)
扭矩
电压
振幅
计算机科学
工程类
物理
控制(管理)
量子力学
人工智能
电气工程
热力学
程序设计语言
作者
Kailiang Yu,Zheng Wang
出处
期刊:IEEE Transactions on Industrial Electronics
[Institute of Electrical and Electronics Engineers]
日期:2024-04-01
卷期号:71 (4): 3429-3440
被引量:5
标识
DOI:10.1109/tie.2023.3273256
摘要
Accurate and updated knowledge of electrical parameters is of great importance for high-performance control of motor drives. However, the common challenging issue in existing identification methods is to construct a full-rank model with low parameter coupling. In this paper, an online multi-parameter identification method has been proposed for the dual three-phase interior PMSM (IPMSM) drives with position-offset and high-frequency square-wave voltage injection. Thanking to the simplified amplitude extraction process, the inductance parameters can be conveniently calculated from HF current amplitude under HF square-wave voltage injection. On this basis, the position-offset injection based model has been developed for the individual identification of the rotor flux linkage. Finally, the resistance can be estimated according to the steady-state voltage equations in harmonic subspace with the aid of known inductance. With the constructed multi-source identification models, the rank-deficient problem of multi-parameter estimation can be solved. Furthermore, the additional control dimensions of dual three-phase IPMSM have been utilized to avoid the torque disturbance from position-offset injection. The experimental results are presented to verify performance of the proposed method.
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