Finite Element Analysis of Synchronous Reluctance Motors Using EMDLAB

In this course, we analyze two synchronous reluctance motor case studies and derive their complete performance characteristics using finite element analysis in EMDLAB. The first benchmark is a pure synchronous reluctance motor (SynRM), and the second is a permanent-magnet-assisted synchronous reluctance motor (PMa-SynRM). Register This Course Here Contents: Discussion on target motors. How to create

Finite Element Analysis of Switched Reluctance Motors Using EMDLAB

In this course, we learn how to perform finite element analysis of two benchmark switched reluctance motors using EMDLAB within the MATLAB environment. The first benchmark is an inner-rotor SRM, and the second is an outer-rotor SRM. The main objective is to compute a complete set of motor performance characteristics, including static torque curves, flux

Finite Element Analysis of Induction Motors Using EMDLAB

In this course, we will learn how to perform finite element analysis of three-phase induction motors using EMDLAB. Two induction motor case studies are presented, and their complete performance characteristics are derived through finite element analysis in EMDLAB. The first case study is a 0.75 kW Siemens motor, and the second case study is a

Finite Element Analysis of Permanent Magnet Motors Using EMDLAB

In this course, we will analyze four permanent-magnet motor case studies and derive their complete performance characteristics using finite element analysis in EMDLAB. Register This Course Here Contents: Discussion on target motors. How to create geometry in EMDLAB? How to generate a mesh in EMDLAB? How to use the EMDLAB magnetic static solver? Stator modeling

Advanced Course on Iron Loss Calculation in Electrical Machines

Iron loss calculation in electrical machines is a complex task because it depends on several interacting phenomena, including nonlinear magnetic material behavior, rotating and alternating flux components, space and time harmonics, and local saturation effects. Various methods have been proposed for iron loss estimation, ranging from simple analytical models based on Steinmetz-type equations to more

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