TY - GEN
T1 - High-Performance Position Sensorless control of Reluctance Synchronous Motor using High-Frequency Injection
AU - Farhan, Ahmed
AU - Abdelrahem, Mohamed
AU - Saleh, Amr
AU - Shaltout, Adel
AU - Kennel, Ralph
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/7
Y1 - 2019/7
N2 - This paper presents an enhanced method for a self-sensing (Sensorless) Field Oriented Control (FOC) of Reluctance Synchronous Motor (SRM) based on high-frequency signal injection. The rotor saliency characteristic with the difference between the d-axis and q-axis inductance of the motor is used for position estimation through adding a small high-frequency current signal injected in an arbitrary rotating frame. Modulation technique is applied to the sensed voltages and currents to extract a signal that is proportional to the difference between the actual position and an estimated position. This error signal is used as input to a Phase-Locked Loop (PLL) to get the position and the speed of the machine. Particle Swarm Optimization technique (PSO) is used to tune the parameters of speed, current and PLL controllers. The major objective of this drive is to give a robust and dynamic estimation of the rotor angle and speed independent of the operating condition. The proposed methodology is validated by simulation results to clarify the ability of the proposed technique in different speed area.
AB - This paper presents an enhanced method for a self-sensing (Sensorless) Field Oriented Control (FOC) of Reluctance Synchronous Motor (SRM) based on high-frequency signal injection. The rotor saliency characteristic with the difference between the d-axis and q-axis inductance of the motor is used for position estimation through adding a small high-frequency current signal injected in an arbitrary rotating frame. Modulation technique is applied to the sensed voltages and currents to extract a signal that is proportional to the difference between the actual position and an estimated position. This error signal is used as input to a Phase-Locked Loop (PLL) to get the position and the speed of the machine. Particle Swarm Optimization technique (PSO) is used to tune the parameters of speed, current and PLL controllers. The major objective of this drive is to give a robust and dynamic estimation of the rotor angle and speed independent of the operating condition. The proposed methodology is validated by simulation results to clarify the ability of the proposed technique in different speed area.
KW - Field Oriented Control
KW - Particle Swarm Optimization
KW - Phase-Locked Loop
KW - Reluctance Synchronous Motor
UR - http://www.scopus.com/inward/record.url?scp=85080954818&partnerID=8YFLogxK
U2 - 10.1109/PEDS44367.2019.8998897
DO - 10.1109/PEDS44367.2019.8998897
M3 - Conference contribution
AN - SCOPUS:85080954818
T3 - Proceedings of the International Conference on Power Electronics and Drive Systems
BT - 2019 IEEE 13th International Conference on Power Electronics and Drive Systems, PEDS 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 13th IEEE International Conference on Power Electronics and Drive Systems, PEDS 2019
Y2 - 9 July 2019 through 12 July 2019
ER -