High-Performance Position Sensorless control of Reluctance Synchronous Motor using High-Frequency Injection

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.