Sensorless Control of PMSM Based on Complex Coefficient Filter-Based Fixed-Time ESO and Novel Cost Function-Based PLL

Authors:
Publisher website
Google Scholar
Abstract
This paper proposes a novel sensorless control strategy for permanent magnet synchronous motor (PMSM) based on complex coefficient filter-based fixed-time extended state observer (CCF-FESO) and novel cost function-based finite-position- set phase-locked loop (NCF-PLL). Firstly, the CCF-FESO is proposed by integrating a complex coefficient filter (CCF) with a fixed-time convergent extended state observer (FESO). This novel approach overcomes the inherent phase lag and poor sinusoidal tracking performance of conventional linear ESO, enabling accurate estimation of back electromotive force (BEMF). Secondly, the NCF-PLL is designed based on a novel Newton-iteration cost function, which removes the dependency on auxiliary algorithms, thereby simplifying the computational structure while enhancing theoretical precision. Finally, experimental results demonstrate that the proposed strategy achieves a significant improvement in estimation performance, reducing the steady-state position root mean square error (RMSE) by approximately 15.8% and decreasing the maximum dynamic error from 13.1° to below 4.2°, thereby confirming its feasibility and superiority.
Funding Information
  • National Natural Science Foundation of China (12122304)
  • National Natural Science Foundation of China (12473083)
  • Jilin Provincial Key Research and Development Plan Project (20220203036SF)
  • Jilin Province Science and Technology Innovation Platform Project (20230505007ZP)
  • Youth Innovation Promotion Association (Y2023060)

This publication has 28 references indexed in Scilit: