Modeling and Simulation Techniques for Optimizing Electric Motor Performance

Authors

Priyanka Das

Abstract

This paper focuses on the analysis of modeling and simulation and the practices to enhance electric motor performance. It describes different techniques: analytical approach, numerical approach, and combined approaches. Analytical modeling offers simplified mathematical models of electric motor dynamics, which can be helpful in the first design evaluations and control system design but fails when capturing some nonlinearities. Analytical methods provide general concepts of a problem and lead to approximate solutions, while numerical methods, including finite element analysis (FEA) and computational fluid dynamics (CFD), provide more detailed information about the physics of a problem and the geometry of the structures involved, at the cost of increased computational time. Hybrid modeling uses analytical and numerical approaches to be precise in calculation and time efficient. Since these computational possibilities develop, applying these modeling approaches remains to progress. It will enhance the construction of efficient electric motor systems and inspire the entire industry's sustainability.

Keywords

Electric Motors, Modeling Techniques, Numerical Simulation, Analytical Modeling, Hybrid Approaches, Rotor Eccentricity, Linearization, Electromagnetic torque

Modeling and Simulation Techniques for Optimizing Electric Motor Performance. Priyanka Das. 2020. IJIRCT, Volume 6, Issue 2. Pages 1-5. https://www.ijirct.org/viewPaper.php?paperId=2412010