DocumentCode :
3550073
Title :
Biologically inspired sliding mode control of switched reluctance motor
Author :
Guoqin Gao ; Sun, Yukun ; Wang, Deming
Author_Institution :
Sch. of Electr. & Inf. Eng., Jiangsu Univ., Zhenjiang, China
Volume :
3
fYear :
2004
fDate :
6-9 Dec. 2004
Firstpage :
2150
Abstract :
As the ideal sliding motion can´t be formed in the practical system using a sliding mode control, the sliding mode controller for switched reluctance motor has the problem of large speed ripples. In this paper, a biologically inspired shunting model is incorporated into the variable structure sliding mode control for a switched reluctance motor in order to improve its performance. The simulation by MATLAB demonstrates the effectiveness of the proposed control scheme. The simulation results show that the switched reluctance motor using the proposed biologically inspired sliding mode control has the better speed tracking performance than using the conventional sliding mode control. In addition, the switched reluctance motor controller keeps the features of parameter insensitivity and rapid recovery from load disturbances.
Keywords :
machine control; reluctance motors; variable structure systems; velocity control; MATLAB; biologically inspired shunting model; biologically inspired sliding mode control; speed tracking; switched reluctance motor; variable structure sliding mode control; Biological system modeling; Control systems; Electric variables control; Linear feedback control systems; Mathematical model; Motion control; Reluctance machines; Reluctance motors; Sliding mode control; Torque;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation, Robotics and Vision Conference, 2004. ICARCV 2004 8th
Print_ISBN :
0-7803-8653-1
Type :
conf
DOI :
10.1109/ICARCV.2004.1469497
Filename :
1469497
Link To Document :
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