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Bearing Fault Numerical Model for the Closed-slot Rotor Submersible Motor

Chinese Journal of Electrical Engineering 2023年第2期9卷 84-93页

作者： Zhe Ke Bokai Guan Chong Di Jingwen Yan Xiaohua Bao School of Electrical Engineering and Automation Hefei University of TechnologyHefei 230009China School of Electrical and Computer Engineering The Ohio State UniversityColumbus OH 43210USA

A numerical model of the bearing fault of a motor with a closed-slot rotor using the finite element method(FEM)is *** rotor’s radial motion can be regarded as static eccentric at the defect time points and healthy at other time *** frequency of the harmonic component is analyzed corresponding to bearing fault in stator current according to the radial movement of the motor ***,the relative permeability variation region is established to achieve the radial motion of the rotor with bearing ***,the relative permeability variation region is established in the health and static eccentric ***,the defect time points are estimated and the static eccentricity model by transient field is ***,the relative permeability of the variable region in the static eccentric model is imported into the variable region of the health model at the defect time *** simulation results show that the air gap flux density of the bearing fault model is different from that of the health model and static eccentric *** addition,the stator current contains harmonic components of the bearing *** analysis results prove the applicability of the proposed model.

关键词： Bearing fault finite element method relative permeability variation region closed-slot rotor stator current

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PSO-based Extended Kalman Filtering for Speed Estimation of an Induction Motor

PSO-based Extended Kalman Filtering for Speed Estimation of ...

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第37届中国控制会议

作者： Baoye Song Jiwei Xu Lin Xu College of Electrical Engineering and Automation Shandong University of Science and Technology

Speed estimation is one of the critical issues of sensorless control of induction motors. This paper is concerned with a PSO-based extended Kalman filter（EKF） for speed estimation of induction motors（IMs）. Firstly, the system model for EKF based speed estimation of IMs is briefly introduced. Then, to overcome the defect of constant covariance matrices of the traditional EKF, the elements of the covariance matrices of EKF have been optimized by using a novel modified PSO（MPSO）,which could deal with the frequently appearing phenomenon of premature convergence of classical PSO algorithm. Finally, a simulation model of induction motor drive is constructed and the PSO-based EKF has been verified to outperform the traditional EKF for the speed estimation of induction motors.

关键词： PSO EKF Particle Swarm Optimization Extended Kalman Filter Speed Estimation Induction Motor stator current

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Speed Sensorless Control System of Induction Machine Using Adaptive Rotor Resistance Observer

Speed Sensorless Control System of Induction Machine Using A...

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2009中国控制与决策会议

作者： Kang Shanlin~1,Kang Yuzhe~2,Zhang Huanzhen~1 1.Hebei University of Engineering,Handan 056038,China 2.Beijing University of Chemical Technology,Beijing 100029,China

Due to quick torque response and robustness against parameter variation,the direct torque control system has been widely utilized in the industrial *** improve its dynamic performance,a novel approach using wavelet network for identifying stator resistance on-line is *** wavelet transform can accurately detect and localize signal characteristic in time-frequency domains,where the real-time stator resistance variation can be *** wavelet network provides a sufficient structure that guarantees the approximation *** with neural network,the wavelet network has four merits: self-construction network,partial retrieval of approximated function,fast convergence and escaping local minima,improving dynamic performance of direct torque control in low *** input nodes of wavelet network have two variables:one is stator current error,and the other is variance ratio of stator current error. The output node of wavelet network is stator resistance *** improved least squares algorithm is used to complete the network parameter initialization,which would have good convergence *** simulation results prove that the proposed method can efficiently reduce the torque ripple and current ripple,optimizing the inverter control strategy.

关键词： Induction motor dynamic performance wavelet network stator current stator identification parameter initialization low speed

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