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Extended Kalman Filter Based Inductance Estimation for Dual Three-Phase Permanent Magnet Synchronous Motors Under the Single Open-Phase Fault
被引:24
作者:
Li, Wenlong
[1
]
Feng, Guodong
[2
]
Li, Ze
[3
]
Toulabi, Mohammad Sedigh
[3
]
Kar, Narayan
[3
]
机构:
[1] Nanjing Univ Sci & Technol, Sch Automat, Nanjing 210094, Peoples R China
[2] Sun Yat Sen Univ, Sch Intelligent Syst Engn, Guangzhou 510275, Peoples R China
[3] Univ Windsor, Dept Elect & Comp Engn, Windsor, ON N9B 3P4, Canada
关键词:
Synchronous motors;
Torque;
Estimation;
Mathematical models;
Inductance;
Parameter estimation;
Fault tolerant systems;
Dual three-phase;
extended Kalman filter;
inductance estimation;
multi-synchronous-rotating frame;
nonlinearity;
open-phase fault;
PMSM;
PARAMETER-ESTIMATION;
MACHINES;
IDENTIFICATION;
PMSM;
D O I:
10.1109/TEC.2021.3129283
中图分类号:
TE [石油、天然气工业];
TK [能源与动力工程];
学科分类号:
0807 ;
0820 ;
摘要:
Dual three-phase permanent magnet synchronous motors (DTP-PMSMs) feature a satisfactory capability of the fault-tolerant operation due to the inherent multiphase configuration. To improve the control performance of the DTP-PMSMs under the open-phase fault, accurate inductances are critical. This paper presents an extended Kalman Filter (EKF) based inductance estimation strategy for DTP-PMSMs with one phase opened. Firstly, the multi-synchronous-rotating frame (MSRF) based DTP-PMSMs modeling under the single open-phase fault is presented. Secondly, the system space-state model and proposed EKF based estimation algorithm considering inverter nonlinearity are presented. Finally, the inductance estimation is performed by experiments under both steady and transient states. The estimation results have been verified by torque measurements which confirm the validity of the proposed method.
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页码:1134 / 1144
页数:11
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