scholarly journals Off-line Parameter Identification of Permanent Magnet Synchronous Motor

2021 ◽  
Vol 2076 (1) ◽  
pp. 012096
Author(s):  
Ying Chen ◽  
Dongdong Chen ◽  
Zongwei Li ◽  
Hongdan Lei ◽  
Hongguan Zhu
Keyword(s):  
Parameter Identification ◽  
Permanent Magnet ◽  
High Frequency ◽  
Permanent Magnet Synchronous Motor ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors ◽  
Identification Methods ◽  
Identification Method ◽  
Line Parameter ◽  
Stator Resistance

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.

scholarly journals A New Type of Sliding Mode Observer for Permanent Magnet Synchronous Motor Control

2021 ◽  
Vol 2113 (1) ◽  
pp. 012044
Author(s):  
Sheng Cheng ◽  
Yu-Fa Xu
Keyword(s):  
Permanent Magnet ◽  
High Frequency ◽  
Sliding Mode ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Sliding Mode Observer ◽  
Estimation Accuracy ◽  
High Frequency Oscillation ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors

Abstract Aiming at the high-frequency oscillation and estimation accuracy problems of traditional sliding mode observers in the control process of permanent magnet synchronous motors, a sensorless control method for permanent magnet synchronous motors based on a new approaching law sliding mode observer is proposed. Based on the construction of a permanent magnet synchronous motor two-phase static coordinate system model, a sliding mode observer is used to estimate the back electromotive force, and then the rotor speed and position information are obtained. Finally, a simulation experiment is carried out. The results show that the new sliding mode observer based on the new approaching law effectively reduces the high frequency chattering of the system, improves the estimation accuracy of the system, and has better control performance.

scholarly journals A Simplified Thermal Model and Online Temperature Estimation Method of Permanent Magnet Synchronous Motors

2019 ◽  
Vol 9 (15) ◽  
pp. 3158 ◽  
Author(s):  
Zhu ◽  
Xiao ◽  
Lu ◽  
Wu ◽  
Tao
Keyword(s):  
Parameter Identification ◽  
Permanent Magnet ◽  
State Equation ◽  
The State ◽  
Geometrical Parameters ◽  
Permanent Magnet Synchronous Motors ◽  
Temperature Estimation ◽  
Synchronous Motors ◽  
Identification Method ◽  
Estimation Scheme

Monitoring critical temperatures in permanent magnet synchronous motors is crucial for improving working reliability. Aiming at resolving the difficulty in online temperature estimation, an accurate and simple five-node lumped parameter thermal network (LPTN) is proposed and the mathematical model of the LPTN is built. Both radial and axial heat transfer paths inside the motor are considered to model the complete thermal circuit. In addition, an innovative parameter identification method based on multiple linear regression is applied to identify the parameters of the LPTN model. The parameters in the state equation are identified instead of the data of the motor, which are strongly dependent on the material and geometrical parameters. Finally, an open-loop estimation scheme based on the state equation and Kalman filter algorithm is adopted to predict the motor temperature online. The model performances are validated by extensive experiments under varying speed and torque conditions in terms of the accuracy and robustness. The results indicate that the temperature estimation error is within the range of ±5 °C in most cases and the proposed model can quickly follow the load variation. Besides, the online temperature estimation scheme and parameter identification method are easy and convenient to implement in an embedded system, which is feasible in automobile applications.

scholarly journals Inter-turn Fault Identification of Surface-Mounted Permanent Magnet Synchronous Motor Based on Inverter Harmonics

Energies ◽  
2020 ◽  
Vol 13 (4) ◽  
pp. 899
Author(s):  
Fengyang Gao ◽  
Guoheng Zhang ◽  
Mingming Li ◽  
Yunbo Gao ◽  
Shengxian Zhuang
Keyword(s):  
Permanent Magnet ◽  
High Frequency ◽  
Short Circuit ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Harmonic Excitation ◽  
Working Environment ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors ◽  
Negative Sequence

Inter-turn short-circuit faults can lead to further faults in motors. This makes monitoring and identifying such faults particularly important. However, because of interference in their working environment, fault signals can be weak and difficult to detect in permanent magnet synchronous motors. This paper proposes a method for overcoming this by extracting the inverter harmonics as an excitation source and then extracting characteristic of fault measurements from the negative sequence voltage. First of all, a model of permanent magnet synchronous motor faults is established and a fault negative sequence voltage is introduced to calculate the fault indicators. Then the high frequency harmonic excitation in the voltage is extracted. This is injected into the original voltage signal and the high frequency negative sequence component is separated and detected by a second-order generalized integrator. Simulation results show that the proposed method can effectively identify inter-turn short-circuit faults in permanent magnet synchronous motors while remaining highly resistant to interference. The method is especially effective when the severity of the fault is relatively small and the torque is relatively large.

Influence of unbalanced magnetic force on shaft deflection in permanent magnet synchronous motor with fractional slot concentrated windings

2020 ◽  
Vol 64 (1-4) ◽  
pp. 1461-1468
Author(s):  
Ting Dong ◽  
Juyan Huang ◽  
Bing Peng ◽  
Ling Jian
Keyword(s):  
Permanent Magnet ◽  
Magnetic Force ◽  
Permanent Magnet Synchronous Motor ◽  
Operational Reliability ◽  
Topology Structure ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors ◽  
Shaft Deflection ◽  
Large Length ◽  
Fractional Slot

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.

Direct Torque Control for Permanent Magnet Synchronous Motors Based on Fuzzy Regulator

2014 ◽  
Vol 998-999 ◽  
pp. 607-612
Author(s):  
Xiang Tang ◽  
Jun Gu ◽  
Ting Gao Qin
Keyword(s):  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
Torque Ripple ◽  
Torque Control ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors ◽  
Pi Regulator ◽  
Harmonic Content ◽  
Fuzzy Regulator

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.

scholarly journals Two-Vector FCS-MPC for Permanent-Magnet Synchronous Motors Based on Duty Ratio Optimization

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Long Sheng ◽  
Dapeng Li ◽  
Yue Ji
Keyword(s):  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Fast Response ◽  
Duty Ratio ◽  
Time Duration ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors ◽  
Large Current ◽  
Finite Control ◽  
Ratio Optimization

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.

Nonlinear Time-Frequency Control of Permanent Magnet Synchronous Motors

2016 ◽  
Author(s):  
Xin Wang ◽  
C. Steve Suh
Keyword(s):  
Permanent Magnet ◽  
Frequency Control ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Discrete Wavelet ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors ◽  
Time Frequency ◽  
Essential Components ◽  
Wide Range

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.

Chaos Characteristics and Control of Permanent Magnet Synchronous Motors

2011 ◽  
Vol 48-49 ◽  
pp. 292-299 ◽  
Author(s):  
Wei Xue ◽  
Yan Ling Guo ◽  
Yong Li Li
Keyword(s):  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Stable State ◽  
Nonlinear Dynamic System ◽  
Synchronous Motor ◽  
Normal Operation ◽  
Permanent Magnet Synchronous Motors ◽  
Synchronous Motors ◽  
System Parameters ◽  
And Control

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.

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