Cogging Torque Optimization of Servo Motor Based on Three-segment Arc Rotor
Year: 2026
Type: conference-paper
Abstract: Permanent magnet synchronous servo motors (PMSSM) are extensively used in high-end precision fields. Cogging torque severely degrades positioning accuracy and operational stability and must be suppressed. This paper presents a three-segment arc rotor (TAR) for a 10-pole 12-slot interior PMSSM (IPMSSM). Parametric scanning is adopted to reveal the effects of key rotor parameters on cogging torque, back-EMF constant and THD. Particle swarm optimization (PSO) is then applied to optimize the TAR parameters. Simulation results show that the peak-to-peak cogging torque is reduced from $\mathbf{2 6 6. 2 ~ m N} \cdot \mathbf{m}$ to $\mathbf{1 6. 9 ~ m N} \cdot \mathbf{m}$ (only $\mathbf{0. 0 4 \%}$ of rated torque), well below the 0.1% design limit. The back-EMF constant and THD also satisfy the design constraints. The proposed TAR with PSO optimization effectively suppresses cogging torque while preserving high torque density and sinusoidal back-EMF, offering a reliable solution for high-precision and high-stability servo motor design.
Authors: Peiying Li, Yu Zhu, Zeming Li
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7202208286