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
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;
Conference_Titel :
Consumer Electronics, Communications and Networks (CECNet), 2011 International Conference on
Conference_Location :
XianNing
Print_ISBN :
978-1-61284-458-9
DOI :
10.1109/CECNET.2011.5768730
