Regeneration characteristics of speed sensorless control method based on phase difference

2002 ◽  
Author(s):  
K. Watanabe ◽  
J. Tsuchiya ◽  
Y. Yuan ◽  
T. Shimizu ◽  
G. Kimura ◽  
...  
Keyword(s):  
Phase Difference ◽  
Control Method ◽  
Sensorless Control ◽  
Speed Sensorless

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.

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.

scholarly journals Fuzzy Predictive Force Control (FPFC) for Speed Sensorless Control of Single-side Linear Induction Motor

2017 ◽  
Vol 7 (6) ◽  
pp. 2132-2138
Author(s):  
S. Masoumi Kazraji ◽  
M. R. Feyzi ◽  
M. B. Bannae Sharifian ◽  
S. Tohidi
Keyword(s):  
Induction Motor ◽  
Predictive Control ◽  
Force Control ◽  
Control Method ◽  
Sensorless Control ◽  
Speed Sensorless ◽  
Linear Induction ◽  
Linear Induction Motor ◽  
Predictive Force Control ◽  
Single Side

In this paper a model fuzzy predictive force control (FPFC) for the speed sensorless control of a single-side linear induction motor (SLIM) is proposed. The main purpose of of predictive control is minimizing the difference between the future output and reference values. This control method has a lower force ripple and a higher convergence speed in comparison to conventional predictive force control (CPFC). In this paper, CPFC and FPFC are applied to a linear induction motor and their results are compared. The results show that this control method has better performance in comparison to the conventional predictive control method.

scholarly journals Research on speed sensorless control of Maglev train with double-end power supply

2018 ◽  
Vol 4 (3) ◽  
pp. 154-163
Author(s):  
Pengkun Sun ◽  
Qiongxuan Ge ◽  
Yaohua Li ◽  
Xiaoxin Wang
Keyword(s):  
Permanent Magnet ◽  
Power Supply ◽  
Physical Simulation ◽  
Control Method ◽  
Sensorless Control ◽  
Stable Operation ◽  
Maglev Train ◽  
Speed Sensorless ◽  
Core Technology ◽  
Ac Motor

Background: The core technology of the stable operation of the maglev train is how to accurately obtain the train speed, position and motor angle information. Aim:  Using speed sensorless control method to estimate the speed and position of the maglev train. Methods of the studies: In the double-end power supply mode of the maglev train, the principle of the extended back electromotive force (EEMF) of the AC motor is extended to the control of the long stator permanent magnet synchronous linear motor. Results: The mathematical model for the power supply system of long-stator permanent magnet linear synchronous motor is established; based on the principle of EEMF of rotating motor, the EEMF observer is designed. The speed of the maglev train and the rotor angle are obtained by the method of phase locked loop (PLL). Conclusion: Through the semi-physical simulation experiment, the speed sensorless control method is verified to be effective.

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