DocumentCode
3355641
Title
Simultaneous identification and torque regulation of permanent magnet synchronous machines via adaptive excitation decoupling
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
2015
fDate
1-3 July 2015
Firstpage
3224
Lastpage
3229
Abstract
Parameter identification and output regulation are generally conflicting objectives. However, in the case of overactuated systems, there is an opportunity to achieve these objectives simultaneously. This paper presents a simultaneous identification and adaptive control design methodology for overactuated systems which is applied to the torque regulation problem for permanent magnet synchronous machines. Excitation and control inputs to the system are first designated. The excitation input is then treated as a disturbance which is decoupled from the regulated output via an excitation decoupling control law. Machine parameters are estimated with a normalized gradient-based algorithm, and necessary conditions for parameter convergence are established. Simulation results confirm the necessary conditions for parameter convergence, as well as the effectiveness of the resulting closed-loop torque regulator.
Keywords
adaptive control; closed loop systems; convergence of numerical methods; gradient methods; machine control; parameter estimation; permanent magnet machines; synchronous machines; torque control; adaptive control design methodology; adaptive excitation decoupling; control inputs; excitation decoupling control law; excitation inputs; machine parameter estimation; normalized gradient-based algorithm; output regulation; overactuated systems; parameter convergence; parameter identification; permanent magnet synchronous machines; resulting closed-loop torque regulator; simultaneous identification; torque regulation problem; Convergence; Resistance; Rotors; Stator windings; Torque; Voltage control;
fLanguage
English
Publisher
ieee
Conference_Titel
American Control Conference (ACC), 2015
Conference_Location
Chicago, IL
Print_ISBN
978-1-4799-8685-9
Type
conf
DOI
10.1109/ACC.2015.7171829
Filename
7171829
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