A PINN-Based Nonlinear PMSM Electromagnetic Model Using Differential Inductance Theory
Source abstract
Abstract
Traditional permanent-magnet synchronous motor (PMSM) models assume constant inductance parameters in the dq frame, attributing torque ripple solely to local non-sinusoidal disturbances while neglecting nonlinear effects like iron saturation, flux linkage spatial harmonics, and inter-axis mutual coupling. These simplifications limit such models to predicting average torque but fail to capture harmonic components. To overcome these limitations, this study develops a nonlinear PMSM model using differential inductance theory and constructs a physics-informed neural network (PINN) surrogate trained on finite-element data. The proposed hybrid framework demonstrates high-fidelity torque prediction, validated against finite-element simulations, and provides insights into harmonic generation mechanisms under saturation and spatial field distortions.
Source: crossref · Quality: baseline
Research context
OpenAlex topics: Magnetic Properties and Applications · Non-Destructive Testing Techniques · Magnetic Field Sensors Techniques
SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.
Affiliations
School of Automotive Studies, Tongji University, Shanghai 201804, China
Funding
National Key Research and Development Program of China · Ministry of Science and Technology of China
References (27)
Show source-provided references
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