Optimal Control of Electromagnetic Performance for PMSM Dual-Loop System Based on Improved Fuzzy NLADRC.

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Bibliographic Details
Title:	Optimal Control of Electromagnetic Performance for PMSM Dual-Loop System Based on Improved Fuzzy NLADRC.
Authors:	Chen, Dehai^1,2, Zhang, Haifeng¹ 3516485006@qq.com, Liu, Ruilong¹, Cai, Lingfeng¹
Source:	Progress in Electromagnetics Research C. 2026, Vol. 169, p216-224. 9p.
Subjects:	Sensorless control systems, Permanent magnet motors, Observability (Control theory), Feedback control systems, Electric transients, Torque control, Fuzzy control systems
Abstract:	To enhance the electromagnetic transient performance and torque dynamic response quality of permanent magnet synchronous motor (PMSM) vector control systems, an improved fuzzy nonlinear active disturbance rejection control (IFNLADRC)-based dual-loop sensorless electromagnetic control method is proposed. Firstly, the nonlinear function falnew is optimized to resolve the zero-point discontinuity and high-frequency chattering issues of traditional functions. A fuzzy logic controller is employed to optimize the parameters of the nonlinear state error feedback (NLSEF) control law, improving control stability. An improved extended state observer (IESO) is designed to accurately estimate the total system disturbances and achieve modular decoupling, which reduces the difficulty of parameter tuning. The controller adopts dual-loop control for comprehensive and efficient system regulation, and it integrates a linear extended state observer (LESO) with a normalized phase-locked loop (PLL) to realize high-precision sensorless estimation. Simulation results show that the proposed method outperforms traditional controllers in speed response performance, and it significantly suppresses speed fluctuations and current chattering under load disturbances. Under test conditions of speed steps (1000 r/min → 1300 r/min → 1000 r/min) and load torque steps (±10 N), the steady-state speed error after each speed transition in sensorless control is only ±0.06 r/min with accurate rotor position estimation, effectively improving the dynamic response, anti-disturbance performance, and control precision of the PMSM control system. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	To enhance the electromagnetic transient performance and torque dynamic response quality of permanent magnet synchronous motor (PMSM) vector control systems, an improved fuzzy nonlinear active disturbance rejection control (IFNLADRC)-based dual-loop sensorless electromagnetic control method is proposed. Firstly, the nonlinear function falnew is optimized to resolve the zero-point discontinuity and high-frequency chattering issues of traditional functions. A fuzzy logic controller is employed to optimize the parameters of the nonlinear state error feedback (NLSEF) control law, improving control stability. An improved extended state observer (IESO) is designed to accurately estimate the total system disturbances and achieve modular decoupling, which reduces the difficulty of parameter tuning. The controller adopts dual-loop control for comprehensive and efficient system regulation, and it integrates a linear extended state observer (LESO) with a normalized phase-locked loop (PLL) to realize high-precision sensorless estimation. Simulation results show that the proposed method outperforms traditional controllers in speed response performance, and it significantly suppresses speed fluctuations and current chattering under load disturbances. Under test conditions of speed steps (1000 r/min → 1300 r/min → 1000 r/min) and load torque steps (±10 N), the steady-state speed error after each speed transition in sensorless control is only ±0.06 r/min with accurate rotor position estimation, effectively improving the dynamic response, anti-disturbance performance, and control precision of the PMSM control system. [ABSTRACT FROM AUTHOR]
ISSN:	19378718
DOI:	10.2528/PIERC26031202