DocumentCode
3158118
Title
Application of the adaptive fuzzy PID controller in switched reluctance motor
Author
Wu, Ren ; Hao, Run-ke ; Cui, Yi-tian
Author_Institution
Sch. of Opt.-Electr. & Comput. Eng., Univ. of Shanghai for Sci. & Technol., Shanghai, China
fYear
2011
fDate
16-18 April 2011
Firstpage
3966
Lastpage
3968
Abstract
As the SRD system is multivariable, highly coupled and nonlinear, it is difficult to get a satisfied result by the conventional control. In this paper, the adaptive fuzzy PID controller is designed as the speed regulator, by using the Simulink toolbox of the Matlab, the result shows that the controller can reduce the overshoot, improve the accuracy and possess good robustness.
Keywords
adaptive control; control system synthesis; fuzzy control; machine control; multivariable control systems; nonlinear control systems; reluctance motor drives; three-term control; velocity control; Matlab; Simulink toolbox; adaptive fuzzy PID controller design; coupled system; multivariable system; nonlinear system; speed regulator; switched reluctance motor drive system; Adaptive systems; Control systems; Equations; Fuzzy control; Mathematical model; Reluctance motors; PID; fuzzy control; switched reluctance motor;
fLanguage
English
Publisher
ieee
Conference_Titel
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location
XianNing
Print_ISBN
978-1-61284-458-9
Type
conf
DOI
10.1109/CECNET.2011.5768730
Filename
5768730
Link To Document