scholarly journals Comparison of Selected Methods for the Stator Winding Condition Monitoring of a PMSM Using the Stator Phase Currents

Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1630
Author(s):  
Przemyslaw Pietrzak ◽  
Marcin Wolkiewicz

Stator winding faults are one of the most common faults of permanent magnet synchronous motors (PMSMs), and searching for methods to efficiently detect this type of fault and at an early stage of damage is still an ongoing, important topic. This paper deals with the selected methods for detecting stator winding faults (short-circuits) of a permanent magnet synchronous motor, which are based on the analysis of the stator phase current signal. These methods were experimentally verified and their effectiveness was carefully compared. The article presents the results of experimental studies obtained from the spectral analysis of the stator phase current, stator phase current envelope, and the discrete wavelet transform. The original fault indicators (FIs) based on the observation of the symptoms of stator winding fault were distinguished using the aforementioned methods, which clearly show which symptom is most sensitive to the incipient fault of the stator winding of PMSMs.

Author(s):  
Xin Wang ◽  
C. Steve Suh

Permanent magnet synchronous motors are essential components in a wide range of applications in which their unique benefits are explored. However, in order for a permanent magnet synchronous motor to achieve satisfactory performance, particular control frameworks are essential. After all, permanent magnet synchronous motor is an AC machine, which is characterized by its complex structure and strongly coupled system states. Therefore, in order for it to achieve satisfactory dynamic performance, advanced control techniques are the only solution. This paper presents a precise speed control of permanent magnet synchronous motors using the nonlinear time-frequency control concept. The novel aspect of this nonlinear time-frequency control, which is an integration of discrete wavelet transformation and adaptive control, is its ability in analyzing the fundamental temporal and spectral qualities inherent of a permanent magnet synchronous motor and exerting control signals accordingly. Simulation results verifies that the proposed nonlinear time-frequency control scheme is feasible for alleviating the nonlinear behavior of the permanent magnet synchronous motor which hampers the tracking of speed with desired precision.


Author(s):  
Madi Zholbaryssov ◽  
Azeem Sarwar

Abstract GM has a vision of future with zero crashes, zero emissions, and zero congestion. Permanent Magnet Synchronous Motors will be integral part of an all-electric future, due to their excellent power to mass ratio and smaller size, which promises to deliver the zero emission world. Making sure that these motors do not fail abruptly without warning, will also reduce congestion caused on the roads by such incidents. Stator winding health monitoring presented in this article allows to detect a fault at its early stage, which greatly increases the chances of the customer being able to repair electric drive system before it completely fails. We present approach for detecting shorted turn faults in stator winding of permanent magnet synchronous motor. The approach is based on monitoring negative sequence admittance for certain operating conditions. Timely fault detection also allows to take preventive action to limit damage propagation across the electric drive, thus, reducing repair and warranty costs. The research presented in this article also furthers GM’s strategic initiative to develop Vehicle Health Management (VHM) technologies that positively impact customer ownership experiences and drive their long-term loyalty to GM brands.


2020 ◽  
Vol 64 (1-4) ◽  
pp. 1461-1468
Author(s):  
Ting Dong ◽  
Juyan Huang ◽  
Bing Peng ◽  
Ling Jian

The calculation accuracy of unbalanced magnetic forces (UMF) is very important to the design of rotor length, because it will effect the shaft deflection. But in some permanent magnet synchronous motors (PMSMs) with fractional slot concentrated windings (FSCW), the UMF caused by asymmetrical stator topology structure is not considered in the existing deflection calculation, which is very fatal for the operational reliability, especially for the PMSMs with the large length-diameter ratio, such as submersible PMSMs. Therefore, the part of UMF in the asymmetrical stator topology structure PMSMs caused by the choice of pole-slot combinations is analysized in this paper, and a more accurate rotor deflection calculation method is also proposed.


2011 ◽  
Vol 58 (5) ◽  
pp. 1576-1585 ◽  
Author(s):  
Luís Romeral ◽  
Julio César Urresty ◽  
Jordi-Roger Riba Ruiz ◽  
Antonio Garcia Espinosa

2014 ◽  
Vol 998-999 ◽  
pp. 607-612
Author(s):  
Xiang Tang ◽  
Jun Gu ◽  
Ting Gao Qin

In this paper, a method of direct torque control (DTC) for permanent magnet synchronous motor (PMSM) based on fuzzy regulator is proposed. It overcomes the disadvantages such as speed drop with load, torque ripple etc., which happens in the DTC for PMSM based on conventional PI regulator. The simulation results show that, the DTC for PMSM based on fuzzy regulator can effectively improve the system loading capability and significantly reduce the torque ripple and the harmonic content of the system. Therefore, it can comprehensively improve the system performance.


2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Long Sheng ◽  
Dapeng Li ◽  
Yue Ji

The servo system of a permanent-magnet synchronous motor usually consists of current, speed, and position loops. Compared with conventional PI control, finite-control-set model predictive control (FCS-MPC) has the advantage of fast response. Conventional FCS-MPC relies on the precise parameters of system model and has large current ripple. To address that problem, this paper proposed an improved FCS-MPC based on duty ratio optimization in synchronous rotating reference frame. To get more precise voltage vector, the proposed FCS-MPC selects the optimal vector combination and, respectively, calculates the time duration. Moreover, feedback correction is also applied to improve the robustness of the control strategy. The simulation results validate the effectiveness of the algorithm.


2011 ◽  
Vol 48-49 ◽  
pp. 292-299 ◽  
Author(s):  
Wei Xue ◽  
Yan Ling Guo ◽  
Yong Li Li

The permanent magnet synchronous motor (PMSM), a nonlinear dynamic system, can exhibit prominent chaotic characteristics under some choices of system parameters and external inputs. Based on a mathematical model of the permanent magnet synchronous motor, the existence of chaotic attractor is verified by the phase trajectory, Lyapunov exponent map and the bifurcation diagram. Chaotic phenomenon, such as a strong oscillation of speed and torque, unstable operating performance, affects the normal operation of motor. It makes the PMSM in a stable state to control chaos of the PMSM with a control strategy of infinitesimal geometry, which can eliminate chaos well.


2021 ◽  
Vol 2076 (1) ◽  
pp. 012096
Author(s):  
Ying Chen ◽  
Dongdong Chen ◽  
Zongwei Li ◽  
Hongdan Lei ◽  
Hongguan Zhu

Abstract This paper first explains the necessity of off-line parameter identification of permanent magnet synchronous motors, and then introduces the identification methods and principles of the stator resistance, stator d/q axis inductance and back-EMF coefficient of permanent magnet synchronous motors. An identification method of stator d/q axis inductance injected with high frequency voltage is proposed. Finally, based on the MBD development model, the proposed identification method is modeled by Matlab/Simulink and the code is generated for experiments. The results verified the accuracy and feasibility of the proposed method well.


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