Position and speed sensorless control system of permanent magnet synchronous motor with parameter identification

2007 ◽  
Vol 160 (2) ◽  
pp. 68-76 ◽  
Author(s):  
Shigeo Morimoto ◽  
Akihide Shimmei ◽  
Masayuki Sanada ◽  
Yoji Takeda
Keyword(s):  
Control System ◽  
Parameter Identification ◽  
Permanent Magnet ◽  
Sensorless Control ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Speed Sensorless

Study on speed sensorless system of permanent magnet synchronous motor based on improved direct torque control

2021 ◽  
pp. 014233122110629
Author(s):  
Xiaoxin Hou ◽  
Mingqian Wang ◽  
Guodong You ◽  
Jinming Pan ◽  
Xiating Xu ◽  
...  
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
Permanent Magnet Synchronous Motor ◽  
Direct Torque Control ◽  
Torque Ripple ◽  
Synchronous Motor ◽  
Torque Control ◽  
Switching Frequency ◽  
Speed Sensorless ◽  
Stator Resistance

The traditional direct torque control system of permanent magnet synchronous motor has many problems, such as large torque ripple and variable switching frequency. In order to improve the dynamic and static performance of the control system, a new torque control idea and speed sensorless control scheme are proposed in this paper. First, by deriving the equation of torque change rate, an improved torque controller is designed to replace the torque hysteresis controller of the traditional direct torque control. The improved direct torque control strategy can significantly reduce the torque ripple and keep the switching frequency constant. Then, based on the improved direct torque control and considering the sensitivity of the stator resistance to temperature change, a speed estimator based on the model reference adaptive method is designed. This method realizes the stator resistance on-line identification and further improves the control precision of the system. The performance of the traditional direct torque control and the improved direct torque control are compared by simulation and experiment under different operating conditions. The simulation and experimental results are presented to support the validity and effectiveness of the proposed method.

scholarly journals Extended Kalman Filter Application in Permanent Magnet Synchronous Motor Sensorless Control

2021 ◽  
Author(s):  
Ming Qiu
Keyword(s):  
Permanent Magnet ◽  
Control Method ◽  
Sensorless Control ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Power Electronic ◽  
Simulation Environment ◽  
Speed Sensorless ◽  
Electronic Circuitry ◽  
Proper Operation

This thesis presents the modeling, analysis, design and experimental validation of a robust sensorless control method for permanent magnet synchronous motor (PMSM) based on Extended Kalman Filter (EKF) to accurately estimate speed and rotor position. Currently, there is no robust position/speed sensorless control method available for the permanent magnet synchronous motor (PMSM) in the published literature. Traditionally, commercial off-the-shelf simulation models for PMSM do not incorporate initial rotor position and simplified steady-state based modeling of the associated power electronic circuitry and controls are used. These limitations have prevented the development and application of a robust real-time sensorless control method with good dynamic performance over the full speed range for the PMSM. The main focus of this thesis is to overcome these limitations. In particular, a detailed real-time PMSM model in MATLAB/Simulink simulation environment is developed which is used to validate the EKF sensorless control method by varying the initial position of the rotor. The proposed position/speed sensorless control based on EKF method along with all the power electronic circuitry are modeled in this simulation environment. This user-friendly simulation and rapid-prototyping platform is then effectively used to predict, analyse, fine-tune and validate proper operation of the proposed EKF sensorless control method for all operating conditions. In particular, different control strategies are reviewed and the performance of the proposed EKF sensorless control method is critically assessed and validated for different types of dynamic and static torque loads. The robustness of the proposed EKF sensorless method is demonstrated by validating proper operation of the closed-loop motor control system for different rotor initial positions and insensitivity of the EKF speed/position estimation method to the PMSM parameter variations. Proper operation of the proposed EKF based sensorless control method for a high speed permanent magnet synchronous machine is verified experimentally in the lab at Honeywell.

Flux Observation Used in Permanent Magnet Synchronous Motor Sensorless Control System

2013 ◽  
Vol 462-463 ◽  
pp. 365-372
Author(s):  
Yu Quan Li ◽  
Zhen Zhang ◽  
Wei Wang ◽  
Xiao Gang Wang ◽  
Han Bo Zheng ◽  
...  
Keyword(s):  
Control System ◽  
Permanent Magnet ◽  
Sensorless Control ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
State Observer ◽  
Simulation Results ◽  
Observation Method

Sensorless control system for Permanent magnet synchronous motor (PMSM) has been widely used in many areas for its simple installing and easy realizing advantages. This paper mainly analysis sensorless control system of PMSM, estimate the angel of rotor and speed based on flux observation initially, PLL and state observer were used to obtain the accurate angle. Use Simulation toolbox design of MATLAB to implement the simulation of control system and analyze the simulation results. The results verify the correctness and feasibility flux observation method that used in paper.

scholarly journals Extended Kalman Filter Application in Permanent Magnet Synchronous Motor Sensorless Control

2021 ◽  
Author(s):  
Ming Qiu
Keyword(s):  
Permanent Magnet ◽  
Control Method ◽  
Sensorless Control ◽  
Permanent Magnet Synchronous Motor ◽  
Synchronous Motor ◽  
Power Electronic ◽  
Simulation Environment ◽  
Speed Sensorless ◽  
Electronic Circuitry ◽  
Proper Operation

This thesis presents the modeling, analysis, design and experimental validation of a robust sensorless control method for permanent magnet synchronous motor (PMSM) based on Extended Kalman Filter (EKF) to accurately estimate speed and rotor position. Currently, there is no robust position/speed sensorless control method available for the permanent magnet synchronous motor (PMSM) in the published literature. Traditionally, commercial off-the-shelf simulation models for PMSM do not incorporate initial rotor position and simplified steady-state based modeling of the associated power electronic circuitry and controls are used. These limitations have prevented the development and application of a robust real-time sensorless control method with good dynamic performance over the full speed range for the PMSM. The main focus of this thesis is to overcome these limitations. In particular, a detailed real-time PMSM model in MATLAB/Simulink simulation environment is developed which is used to validate the EKF sensorless control method by varying the initial position of the rotor. The proposed position/speed sensorless control based on EKF method along with all the power electronic circuitry are modeled in this simulation environment. This user-friendly simulation and rapid-prototyping platform is then effectively used to predict, analyse, fine-tune and validate proper operation of the proposed EKF sensorless control method for all operating conditions. In particular, different control strategies are reviewed and the performance of the proposed EKF sensorless control method is critically assessed and validated for different types of dynamic and static torque loads. The robustness of the proposed EKF sensorless method is demonstrated by validating proper operation of the closed-loop motor control system for different rotor initial positions and insensitivity of the EKF speed/position estimation method to the PMSM parameter variations. Proper operation of the proposed EKF based sensorless control method for a high speed permanent magnet synchronous machine is verified experimentally in the lab at Honeywell.

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