DocumentCode :
183886
Title :
A robust adaptive controller for Surface-Mount Permanent Magnet Synchronous Machines
Author :
Reed, David M. ; Jing Sun ; Hofmann, Heath F.
Author_Institution :
Dept. of Electr. Eng. & Comput. Sci., Univ. of Michigan, Ann Arbor, MI, USA
fYear :
2014
fDate :
4-6 June 2014
Firstpage :
5236
Lastpage :
5241
Abstract :
High torque density and the potential for high efficiency have made Surface-Mount Permanent Magnet machines an attractive option for many high-performance drive applications. However, parameter variations due to temperature changes, skin effect, and magnetic saturation, can detune the transient characteristics of the drive, and cause large mismatches in torque regulation. The approach presented in this paper utilizes a combination of adaptively tuned feedforward and feedback-decoupling terms, in addition to standard proportional feedback for added robustness. The resulting controller achieves consistent transient response characteristics with zero steady-state error over a wide range of operating points, without the use of integral control. The adaptive law is derived using Lyapunov´s stability theorem, and the resulting adaptive controller is tested numerically in Simulink. Experimental results confirm the performance of the proposed adaptive controller.
Keywords :
Lyapunov methods; adaptive control; machine control; permanent magnet machines; robust control; surface mount technology; synchronous machines; torque control; Lyapunov stability theorem; Simulink; adaptively tuned feedforward; feedback-decoupling terms; high torque density; magnetic saturation; robust adaptive controller; skin effect; surface-mount permanent magnet synchronous machines; temperature changes; torque regulation; transient characteristics; transient response characteristics; zero steady-state error; Convergence; Couplings; Permanent magnets; Robustness; Rotors; Stators; Torque; Control applications; Power systems; Robust adaptive control;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
American Control Conference (ACC), 2014
Conference_Location :
Portland, OR
ISSN :
0743-1619
Print_ISBN :
978-1-4799-3272-6
Type :
conf
DOI :
10.1109/ACC.2014.6858829
Filename :
6858829
Link To Document :
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