A Hybrid Filtering Stage-Based Rotor Position Estimation Method of PMSM with Adaptive Parameter

Area of Science:

• Electrical Engineering
• Control Systems
• Power Electronics

Background:

• Sensorless control of Permanent Magnet Synchronous Machines (PMSM) relies heavily on precise rotor position estimation.
• Phase-Locked Loops (PLL) are commonly used for this estimation due to their robustness.
• Harmonics in the back electromotive force (EMF) introduce errors in traditional PLL-based estimation.

Purpose of the Study:

• To propose a hybrid filtering stage-based PLL to enhance rotor position estimation accuracy in PMSMs.
• To mitigate estimation errors caused by harmonic EMF disturbances.
• To ensure reliable performance across a wide range of operating speeds.

Main Methods:

• Integration of adaptive notch filters and moving average filters to eliminate harmonic EMF.
• Development of adaptive parameter design guidelines for dynamic performance under varying speeds.
• Implementation of a PLL with adaptive frequency adjustment based on rotor speed.

Main Results:

• The proposed method accurately estimates rotor position even in the presence of harmonic EMF.
• The adaptive frequency adjustment maintains estimation performance under changing rotor speeds.
• Simulation results confirm the effectiveness of the hybrid filtering PLL approach.

Conclusions:

• The hybrid filtering stage-based PLL significantly improves rotor position estimation accuracy in PMSMs.
• The method offers robustness against harmonic disturbances and dynamic speed variations.
• This advancement is crucial for enhancing the performance of sensorless PMSM drives.