scholarly journals Sensorless PMSM Drive Inductance Estimation Based on a Data-Driven Approach

Electronics ◽  
2021 ◽  
Vol 10 (7) ◽  
pp. 791
Author(s):  
Gwangmin Park ◽  
Gyeongil Kim ◽  
Bon-Gwan Gu
Keyword(s):  
Estimation Error ◽  
Position Estimation ◽  
Estimation Accuracy ◽  
Speed Estimation ◽  
Load Torque ◽  
Periodic Load ◽  
Rotor Position ◽  
Speed Error ◽  
Rotor Position Estimation ◽  
Sensorless Drive

In the permanent magnet synchronous motor (PMSM) sensorless drive method, motor inductance is a decisive parameter for rotor position estimation. Due to core magnetic saturation, the motor current easily invokes inductance variation and degrades rotor position estimation accuracy. For a constant load torque, saturated inductance and inductance error in the sensorless drive method are constant. Inductance error results in constant rotor position estimation error and minor degradations, such as less optimal torque current, but no speed estimation error. For a periodic load torque, the inductance parameter error periodically fluctuates and, as a result, the position estimation error and speed error also periodically fluctuate. Periodic speed error makes speed regulation and load torque compensation especially difficult. This paper presents an inductance parameter estimator based on polynomial neural network (PNN) machine learning for PMSM sensorless drive with a period load torque compensator. By applying an inductance estimator, we also proposed a magnetic saturation compensation method to minimize periodic speed fluctuation. Simulation and experiments were conducted to validate the proposed method by confirming improved position and speed estimation accuracy and reduced system vibration against periodic load torque.

Novel Compensation Method to Reduce Rotor Position Estimation Error and Torque Reduction in Signal Injection Based PMSM Drives

2017 ◽  
Vol 8 (2) ◽  
pp. 548
Author(s):  
Ravikumar Setty Allampalli ◽  
PurnaPrajna R Mangsuli ◽  
Kishore Chatterjee
Keyword(s):  
Estimation Error ◽  
Position Estimation ◽  
Estimation Accuracy ◽  
Stator Winding ◽  
High Frequency Signal ◽  
Position Information ◽  
Rotor Position ◽  
Injection Techniques ◽  
Signal Injection ◽  
Rotor Position Estimation

High frequency signal injection techniques are widely used to extract rotor position information from low speed to stand still. Accuracy of estimated rotor position is decreased when stator winding resistance is neglected. Position estimation error also results in output Torque reduction. Parasitic resistance of stator winding causes significant position estimation error <br /> and Torque reduction, if not compensated. Signal injection techniques developed in the literature does not provide detailed analysis and compensation methods to improve rotor position estimation of PMS Motors, where stator winding resistance cannot be neglected. This work analyzes the stator winding resistance effect on position estimation accuracy and proposes novel compensation technique to reduce the position estimation error and torque reduction introduced by stator winding resistance. Prototype hardware of a self-sensing PMSM drive is developed. The effectiveness of the proposed method is verified with the MATLAB/Simulink simulations and experimental results on a prototype self-sensing PMSM drive.

scholarly journals Performance Analysis of a Full Order Sensorless Control Adaptive Observer for Doubly-Fed Induction Generator in Grid Connected Operation

Energies ◽  
2021 ◽  
Vol 14 (5) ◽  
pp. 1254
Author(s):  
Gianluca Brando ◽  
Adolfo Dannier ◽  
Ivan Spina
Keyword(s):  
Sensorless Control ◽  
Estimation Error ◽  
Position Estimation ◽  
Adaptive Observer ◽  
Induction Generator ◽  
Doubly Fed Induction Generator ◽  
Rotor Position ◽  
Stator Flux ◽  
Doubly Fed ◽  
Rotor Position Estimation

This paper focuses on the performance analysis of a sensorless control for a Doubly Fed Induction Generator (DFIG) in grid-connected operation for turbine-based wind generation systems. With reference to a conventional stator flux based Field Oriented Control (FOC), a full-order adaptive observer is implemented and a criterion to calculate the observer gain matrix is provided. The observer provides the estimated stator flux and an estimation of the rotor position is also obtained through the measurements of stator and rotor phase currents. Due to parameter inaccuracy, the rotor position estimation is affected by an error. As a novelty of the discussed approach, the rotor position estimation error is considered as an additional machine parameter, and an error tracking procedure is envisioned in order to track the DFIG rotor position with better accuracy. In particular, an adaptive law based on the Lyapunov theory is implemented for the tracking of the rotor position estimation error, and a current injection strategy is developed in order to ensure the necessary tracking sensitivity around zero rotor voltages. The roughly evaluated rotor position can be corrected by means of the tracked rotor position estimation error, so that the corrected rotor position is sent to the FOC for the necessary rotating coordinate transformation. An extensive experimental analysis is carried out on an 11 kW, 4 poles, 400 V/50 Hz induction machine testifying the quality of the sensorless control.

Analysis of Stator Resistance Effects in Carrier Signal Injection Based Sensorless Control of Permanent Magnet Synchronous Machine

2011 ◽  
Vol 383-390 ◽  
pp. 5951-5957 ◽  
Author(s):  
Jian Min Wang ◽  
Shi Xia Tian
Keyword(s):  
Sensorless Control ◽  
Estimation Error ◽  
Position Estimation ◽  
Estimation Accuracy ◽  
Estimation Errors ◽  
Injection Method ◽  
Signal Injection ◽  
Carrier Signal Injection ◽  
Rotor Position Estimation ◽  
Stator Resistance

This paper analyzes the effects of stator resistance on rotor position estimation accuracy in carrier signal injection based sensorless control of PMSM. Carrier current expressions are derived for both rotating and pulsating voltage injection method when the stator resistance is taken into account. Position estimation errors resulted from stator resistance are analyzed theoretically and investigated by simulation. It is shown that the influences of stator resistance on above two injection methods are quite different. The stator resistance will result in a position estimation error in the rotating voltage injection method. But it does not affect the position estimation accuracy in the pulsating voltage injection method as long as a suitable signal extracting method is used.

Design and Control of IPMSM Sensorless Drive for Mechanical Rotor Position Estimation Capability

2014 ◽  
Vol 2 (2) ◽  
pp. 152-158 ◽  
Author(s):  
Yong-Cheol Kwon ◽  
Seung-Ki Sul ◽  
Noor Aamir Baloch ◽  
Sohji Murakami ◽  
Shinya Morimoto
Keyword(s):  
Position Estimation ◽  
Rotor Position ◽  
Rotor Position Estimation ◽  
And Control ◽  
Sensorless Drive
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