DocumentCode
229672
Title
Direct instantaneous torque control of switched reluctance motor based on adaptive backstepping
Author
Zhang Ruiwei ; Zhang Yingchao ; Qian Xisen ; Lu Ting ; Zhao Zhengming
Author_Institution
Key Lab. of Special Power Supply, PLA, Chongqing, China
fYear
2014
fDate
22-25 Oct. 2014
Firstpage
567
Lastpage
572
Abstract
Direct instantaneous torque control (DITC) is an efficient technique of suppressing torque ripple of switched reluctance motor (SRM). However, the performances of the conventional DITC with hysteresis torque control will be degraded due to limited sampling frequency in digital implementation. Moreover, the performance is also heavily dependent on the outer speed regulator. An improved DITC based on adaptive backstepping is proposed in this paper. Both of the speed control and torque control are designed based on the backstepping theory. And the uncertainties caused by the model inaccuracy and disturbance are considered as lumped uncertainties. To reduce the chattering problem caused by a large switching gain, a simple adaptive algorithm for estimating the lumped uncertainties is developed. The proposed controller is implemented on the Matlab/Simulink environment, and simulation results demonstrate the effectiveness of the proposed controller.
Keywords
angular velocity control; machine control; reluctance motors; torque control; Matlab-Simulink environment; SRM; adaptive algorithm; adaptive backstepping; backstepping theory; chattering problem reduction; digital implementation; direct instantaneous torque control; hysteresis torque control; improved DITC; limited sampling frequency; lumped uncertainties; lumped uncertainty estimation; model inaccuracy; speed control; speed regulator; switched reluctance motor; switching gain; torque ripple suppression; Backstepping; Couplings; Reluctance motors; Rotors; Torque; Uncertainty; Adaptive backstepping; Lyapunov function; direct instantaneous torque control; switched reluctance motor; torque ripple minimization;
fLanguage
English
Publisher
ieee
Conference_Titel
Electrical Machines and Systems (ICEMS), 2014 17th International Conference on
Conference_Location
Hangzhou
Type
conf
DOI
10.1109/ICEMS.2014.7013535
Filename
7013535
Link To Document