Sensorless Control of PMSM Based on Low-Frequency Current Signal Injection in the Direct Axis at Low and Zero Speed

2011 ◽  
Vol 143-144 ◽  
pp. 103-107
Author(s):  
Yu Dong Li ◽  
Xiao Wei Wang ◽  
Wei Hu
Keyword(s):  
Control Method ◽  
Sensorless Control ◽  
Permanent Magnet Synchronous Motor ◽  
Low Frequency ◽  
Voltage Response ◽  
Current Response ◽  
Current Signal ◽  
Rotor Position ◽  
Signal Injection ◽  
Simulation Results

A novel sensorless control method of permanent magnet synchronous motor (PMSM) based on low frequency (LF) current signal injection is proposed in this paper. A LF sinusoidal current signal is superimposed into the estimated d-axis, and the corresponding voltage response and current response are detected to estimate the rotor speed and the rotor position. This method doesn't rely on the non-ideal features but just the fundamental model of PMSM. As a result, the introduced method can be applied to not only IPMSM, but also to SPMSM. Theoretical analysis and simulation results are carried out. The simulation results indicate that the rotor position and speed can be obtained exactly at low and zero speed. The approach ensures good dynamic and static performances, and can realize accurate position servo control.

Sensorless Control of SPMSM Based on High-Frequency Current Signal Injection in the Direct Axis at Low and Zero Speed

2011 ◽  
Vol 383-390 ◽  
pp. 2856-2861 ◽  
Author(s):  
Ying Feng ◽  
Bo Zhou ◽  
Ying Liu ◽  
Shuai Li
Keyword(s):  
High Frequency ◽  
Control Method ◽  
Sensorless Control ◽  
Permanent Magnet Synchronous Motor ◽  
Current Signal ◽  
Rotor Position ◽  
Position Servo Control ◽  
Accurate Position ◽  
Signal Injection ◽  
Sinusoidal Current

A novel sensorless control method of surface-mounted permanent magnet synchronous motor (SPMSM) based on high frequency (HF) current signal injection is proposed in this paper. A HF sinusoidal current signal is superimposed into the estimated d-axis, and the rotor position can be demodulated after q-axis voltage is regulated, which is relative to error angle. Ultimately sensorless control can be achieved. Theoretical analysis and simulation validation are carried out. The simulation results indicate that the rotor position and speed can be obtained exactly at low and zero speed. The approach ensures good dynamic and static performances, and can realize accurate position servo control.

Analysis and Simulation of Low Speed Sensorless Vector Control with Two Current Signal Injection Schemes

2013 ◽  
Vol 722 ◽  
pp. 361-368
Author(s):  
Yu Dong Li ◽  
Bo Zhou ◽  
Ying Liu ◽  
Cheng Liang Zhao
Keyword(s):  
Vector Control ◽  
Permanent Magnet Synchronous Motor ◽  
Low Frequency ◽  
Simulation Models ◽  
Position Estimation ◽  
Estimation Methods ◽  
Current Signal ◽  
Rotor Position ◽  
Sensorless Vector Control ◽  
Signal Injection

Two current signal injection methods, the fluctuating high frequency (HF) current signal injection and low frequency (LF) current signal injection, were discussed. The basic principles of rotor position self-sensing using these current signal injection and the key techniques in implementation were presented and the simulation models for sensorless vector control systems of a permanent magnet synchronous motor (PMSM) were established using two proposed rotor position estimation methods. Comparative simulation study of the fluctuating HF current signal injection and LF current signal injection was investigated, and draw the conclusions that the saliency-tracking scheme using fluctuating HF current signal injection possesses simpler configuration and better speed-adjustable performance both in static and dynamic.

Sensorless Control of IPMSM Drive using EKF with Electromegnetic Noise Effect

2018 ◽  
Vol 9 (1) ◽  
pp. 157
Author(s):  
K Narasimhaiah Achari ◽  
D V Ashok Kumar ◽  
M Vijaya Kumar
Keyword(s):  
Kalman Filter ◽  
Sensorless Control ◽  
Permanent Magnet Synchronous Motor ◽  
Noise Signal ◽  
Speed Estimation ◽  
Electromagnetic Noise ◽  
Noise Effect ◽  
Rotor Position ◽  
Interior Permanent Magnet ◽  
Simulation Results

This paper proposes a new move toward to assess the performance of sensorless control of interior permanent magnet synchronous motor (IPMSM) drive along with electromagnetic noise effect by using EKF.  Normally in rotary condition, rotor position and speed estimation of IPMSM drive are drawn through an Extended Kalman Filter (EKF) algorithm by measuring its voltages and currents of the stator. The main drawback in developing EKF is it may not proficient to consider the effect of electromagnetic noise which is mainly produced during the time of different speed ranges. Owing to this reason this may cause to vary the motor flux linkages which are significant to find the rotor position and speed by EKF method will give approximate results. To carry on this process, we present the simulation results for sensorless speed control of IPMSM drive by using EKF algorithm with the incorporation of a noise signal which is corresponding to the frequency of electromagnetic noise signal using MATLAB/Simulink software. The armature current,  rotor position, and speed estimation are analyzed under this noise signal effect and the effectiveness of the EKF for sensorless control of IPMSM drive is observed.

scholarly journals Research on sensorless control method of permanent magnet synchronous motor based on iterated cubature Kalman filter

2019 ◽  
Vol 103 (1) ◽  
pp. 003685041989027
Author(s):  
Shi Peicheng ◽  
Wang Chen ◽  
Zhang Rongyun ◽  
Wang Suo
Keyword(s):  
Kalman Filter ◽  
Permanent Magnet ◽  
Sensorless Control ◽  
Permanent Magnet Synchronous Motor ◽  
Estimation Method ◽  
Synchronous Motor ◽  
Position Estimation ◽  
Motor Speed ◽  
Rotor Position ◽  
Cubature Kalman Filter

Aiming at the problems of high cost, increased volume, low reliability, and environmental interference caused by sensor installation on permanent magnet synchronous motor, estimation method for motor speed and rotor position is proposed based on iterated cubature Kalman filter algorithm and applied to permanent magnet synchronous motor sensorless control. First, discrete mathematical model of permanent magnet synchronous motor in α-β coordinate system is established. Then, based on cubature Kalman filter and iterated cubature Kalman filter, simulation model of sensorless vector control system with dual closed-loop of permanent magnet synchronous motor speed and current is established. Also, simulation verification of two working conditions with given rotation speed and load is carried out. Finally, hardware experimental verification platform is built based on TMS320F28335 chip. Both simulation analysis and experimental results show that iterated cubature Kalman filter application to sensorless control of permanent magnet synchronous motor demonstrates good anti-load variation interference, stable motor operation, high motor speed and rotor position estimation accuracy, which suits the application with high requirement for precise motor control and mean important reference value and promotion significance.

Direct Torque Control of Interior Permanent Magnet Synchronous Motors Based on Position Sensorless Control

2013 ◽  
Vol 756-759 ◽  
pp. 627-631
Author(s):  
Zhao Jun Meng ◽  
Rui Chen ◽  
Yue Jun An
Keyword(s):  
Permanent Magnet ◽  
Electric Vehicle ◽  
Control Method ◽  
Sensorless Control ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
Torque Control ◽  
Permanent Magnet Synchronous Motors ◽  
Interior Permanent Magnet ◽  
Position Sensorless

The position sensorless control method based on direct torque control was carried out aiming at the interior permanent magnet synchronous motor (IPMSM) in this paper. To the consideration of electric vehicle space is limited, in order to reduce the controller size to save space, this paper studied the sensorless control. Meanwhile, in order to improve the control rapidity as much as possible of the electric vehicle, take direct torque control as a control method of the driving motor. Finally, designed the sensorless direct torque controller and studied its simulation. Simulation results show that the control system have good dynamic and static characteristics in the full speed range.

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