Advanced Electric Machinery
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Displaying course information from Spring 2010.
|H||DIS||0900 - 0950||M W F||403B2 Engineering Hall||Philip Krein
|Official Description||Advanced rotating machine theory and practice: dynamic analysis of machines using reference frame transformations; tests for parameter determination; reduced order modeling of machines; mechanical subsystems including governors, prime movers and excitation systems; digital simulation of inter-connected machines. Course Information: Prerequisite: ECE 431.|
|Subject Area||Power and Energy Systems|
|Course Prerequisites||Credit in ECE 431|
Philip T Krein
|Detailed Description and Outline
Present advanced topics in machine dynamic and basic control, concepts.
||Homework problems in dynamic simulation.|
P. Krause, O. Wasynczuk, and S. Sudhoff, Analysis of Electric Machinery and Drive Systems, 2nd ed., New York: IEEE Press, 2002.
W. Leonhard, Control of Electrical Devices, 3rd ed., New York: Springer-Verlag, 2001.
Engineering Science: 2 credits
Engineering Design: 1 credit
This course is an elective for both electrical engineering and computer engineering majors. The goals are to impart the dynamic modeling, simulation and control theory for electric machinery and associated power electronic drive systems that prepares students for electric power engineering careers and graduate school.
A. After the first five weeks of class, the students should be able to do the following:
1. Perform magnetic analysis to obtain relationships between flux linkages and currents for dynamic models of salient pole machines. This includes machines with permanent magnet excitation. (a), (e)
2. Derive expressions for the torque of electrical origin from the relationships between flux linkages and currents found above. (a), (e)
3. Develop dynamic models for mechanical loads on electric machines. (a), (e)
B. After the first ten weeks of class, the students should be able to do the following in addition to A above:
1. Manipulate dynamic models of machines with various transformations to obtain models suitable for analysis and control. (a), (e)
2. Utilize systematic model reduction techniques to obtain time-scale separation in dynamic models for efficient simulation. (a), (e)
3. Develop averaged models of power electronic supplies necessary for the design and simulation of electric machine control. (a), (e)
C. After the full 15 weeks of class, the students should be able to do the following in addition to A and B above:
1. Simulate field-oriented vector control of electric machines. (a), (e), (k)
2. Analyze the performance of electric drives and their controls. (a), (e), (k)