Advanced Course on Optimal Design of IPM Motors

Register This Course Here Abstract: Master the automated design optimization of the IPM motor by applying powerful classical and intelligent algorithms to solve both single- and multi-objective challenges. This hands-on course teaches you to build a complete optimization workflow by implementing algorithms in MATLAB and interfacing with finite element analysis for high-fidelity simulations (prerequisite: link).

Machine Learning for Design, Analysis, and Optimization of Electrical Machines

Register This Course Here Abstract: Master the complete workflow, from FEA data to deployed neural networks, and accelerate your design cycle. Join the 4-session workshop that teaches engineers how to model electrical machines’ performance using MATLAB and ML (no prior AI experience required). Course Contents: Go Beyond FEA: Understand why traditional “white-box” analytical models are

Advanced Course on Design & Optimization of Surface PMSMs Using Parallel Finite Element Computing in EMDLAB

Request Live Meetings In this course, we cover the advanced optimization of surface-mounted permanent magnet synchronous motors using parallel finite element computing in EMDLAB. The goal is to learn how to write code for high-level optimization tasks. We will also compare the obtained results with those generated by Ansys Maxwell. https://youtu.be/7B1kwoORDro

Advanced Course on Thermal Analysis and Design of Induction Motors

Abstract: This course covers the thermal analysis of an induction motor using a powerful, dual-method approach. The study begins by developing an analytical model, a Lumped Parameter Thermal Network (LPTN), which is then implemented in MATLAB. Subsequently, the results from the LPTN are validated against numerical simulations performed using Computational Fluid Dynamics (CFD) in ANSYS