Sensorless Control of SPMSM Drives Using Adaptive Filter-Based ESO and TESO-PLL

To improve the dynamic performance of back electromotive force observer based on extended state observer, an extended state observer based on adaptive filtering has been developed, building on the framework of the second order extended state observer. Then, stability analysis is performed using the Routh criterion. To overcome the challenge of inferior dynamic performance of traditional phase-locked loop, a highorder extended state observer is employed, accompanied by a method for dynamic parameter tuning. Experimental results show that improved sensorless control method outperforms the traditional phase-locked loop method in terms of dynamic performance, while improving the accuracy of the sensorless control system.