As electric motors become more ubiquitous in our everyday lives, found in just about everything we use from automobiles to kitchen appliances to IOT-connected and smart devices, it’s more important than ever to understand the machine characteristics, modern control techniques, and associated interactions with electronic drives that power these objects. Computer-based tools for estimating machine parameters and performance can remarkably speed up a designer’s understanding of when different control and machine design assumptions are applicable, and how gracefully these assumptions fail as performance limits are approached.
This course focuses on the analysis and design of electric motors, generators, and drive systems, placing special emphasis on the design of machines for electric drives, including traction drives and drive motors for robots. Participants will gain extensive hands-on exposure through computer-based laboratory exercises using MATLAB and a hardware build session in our instructional laboratories.
Exercises will include investigating machine performance as affected by design measures such as selection of pole and slot count, winding details such as turns distribution, induction machine slot profiles, optimization of magnets, and other design measures. We will use computer-based simulation tools to discuss control strategies for the different machine types and address optimization techniques, including matching motor design to performance requirements. Throughout the course, we will present performance considerations, trade-offs, and design approaches and provide access to computer facilities and analysis routines will be provided for practice in machine analysis and design.
Lead Instructor(s): James Kirtley, Steven Leeb
Dates: Jun 26, 2017 — Jun 30, 2017
Course Length: 5 Days
Course Fee: $4,000
CEUs: 3.4