Non-linear Observer Based Stator Inter-turn Short-circuit Fault Detection in 3-F Induction Motor

被引：0
|
作者：
Duvvuri, S. S. S. R. Sarathbabu [1 ]
Padmaja, S. M. [1 ]
机构：
[1] Shri Vishnu Engn Coll Women Autonomous Bhimavaram, Dept EEE, Bhimavaram 534202, India
来源：
2021 21ST INTERNATIONAL SYMPOSIUM ON POWER ELECTRONICS (EE 2021) | 2021年
关键词：
Extended Kalman filter; fault detection; Nonlinear systems; state estimation; state observers; squirrel-cage induction motors;
D O I：
10.1109/Ee53374.2021.9628215
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：
In this paper, a model-based stator inter-turn short-circuit fault detection in three-phase induction motor is proposed. A modified mathematical model of the faulty induction motor based on stator fluxes is derived. This is believed to be a novel contribution, as researchers haven't used stator flux based induction motor model for inter-turn short-circuit fault detection. State estimation of induction motor is carried out using conventional non-linear Kalman observer. Residual-sequence obtained from the non-linear Kalman observer is used as fault identifier. Dynamic computations are carried on 10-hp induction motor using MATLAB R2021a software. The presented simulation results validate the efficacy of the proposed fault detection strategy.
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页数：6
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