Work

Model-Based Predictive Vibration Suppression Algorithm for Permanent Magnet Synchronous Motor

Year: 2025

Type: article

Abstract: As applications like electric vehicles, all-electric ships, and all-electric aircraft continue to evolve, Noise, Vibration, and Harshness (NVH) issues have garnered extensive attention. However, as the core of the power system, permanent magnet synchronous motors (PMSMs) still lack control algorithms that consider vibration problems. Therefore, this paper proposes a model-based predictive vibration suppression algorithm to suppress the PMSM vibration. Firstly, this paper explores the influence of armature currents on vibration by analyzing the vibration characteristics of PMSMs, and proposes a minimum vibration current model. On this basis, according to the torque conditions required for the stable operation of the motor, a model-based predictive vibration suppression algorithm is designed. Finally, the effectiveness of the proposed algorithm is verified through prototype experiments.

Source: Energies

DOI: 10.3390/en18164252

Authors: Sheng Ma, Xueyan Hao, Bo Zhang, Guilin Zhao

Institutions: Shenyang Institute of Engineering, Shenyang University of Technology

Language: English

Topic: Electric Motor Design and Analysis

Subfield: Electrical and Electronic Engineering

Field: Engineering

Domain: Physical Sciences

Open Access status: gold

Estimated APC paid: $3,137

Funder: Department of Education of Liaoning Province