Coupled electrical and mechanical systems and the analysis of energy transfer between these systems. Analysis of field energy and the relationship between electrical, mechanical and electromagnetic forces. Analysis and design of linear motors, servo-motors, DC and motors are presented. Other topics include inductively coupled charging circuits and vibrational modes that can arise between coupled electrical and mechanical systems. Graduate standing.
This course requires the use of electronic proctoring ProctorU or ProctorTrack as determined by the course faculty. The course syllabus will provide information on the approved electronic testing service. Please see http://www.online.colostate.edu/current-students/proctoring.dot for detailed instructions. For students requiring accommodations, please contact Resources for Disabled Students (RDS); for consideration of exceptions outside the scope of RDS, please contact the University Testing Center.
This course can be applied toward:
ECE 202 (Circuit Theory Applications) or ECE 204 (Introduction to Electrical Engineering).
Military personnel admitted to a College of Engineering online degree program may be eligible for a 15% tuition discount. Tuition discounts can only be given if you provide the appropriate discount code at the time of registration. Call (877) 491-4336 or email firstname.lastname@example.org to learn more.
This class is available live via the Internet on Tuesdays from 5:15 - 8:00 p.m. Mountain Time. If you are registered for the 801 section, log into your Canvas account to access the course; directions will be posted.
Textbooks and Materials
Textbooks and materials can be purchased at the CSU Bookstore unless otherwise indicated.
- Electromechanical Motion Devices, 2nd Ed. (2012)
Paul Krause, Oleg Wasynczuk, Steven D. Pekarek
Dr. James Cale leads a research group at the National Renewable Energy Laboratory (NREL), a U.S. Department of Energy national laboratory in Golden, CO. His research focuses on modeling, control and design optimization of renewable energy systems. His interests are in the areas of biologically-inspired design and optimization methods, computational and applied electromagnetics, control of finite-inertia power systems, and machine learning algorithms.
Prior to joining NREL he worked as Member of Technical Staff at Advanced Energy, performing high-fidelity modeling and algorithm development for PV inverters. Before that he worked at Orbital ATK as a senior R&D engineer leading the design of advanced magnetic sensing, data acquisition and real-time pattern recognition systems for defense applications. His post-doctoral research was in the area of time-domain magnetic FEA for full-wave analysis of high frequency (1010 Hz) magnetics.
James earned his doctorate in electrical engineering (with honors) from Purdue University, where he was funded by an NSF IGERT fellowship. He earned his BSEE from Missouri University of Science & Technology (summa cum laude). He is a member of Tau Beta Pi, Mensa International, and is a Senior Member of IEEE.