Paper Info
Title
Adaptive TSK fuzzy sliding mode control design for switched reluctance motor DTC drive systems with torque sensorless strategy.
Abstract
•To prevent and reduce the chattering phenomenon that occurs in SMC, AFSC is developed by integrating an SMC and adaptive TSK fuzzy controller (AFC). The proposed AFSC can effectively control the speed dynamic responses of a switched reluctance motor (SRM) direct torque control (DTC) drive system without a torque sensor and has outstanding performance.•The TSK fuzzy controller can tune coefficients in consequence parts based on the adaptive coefficient update laws, then can eliminate the chattering phenomenon of the SMC.•The proposed controller is mainly operated by using a sliding mode, and the adaptive TSK fuzzy system is employed to enhance the learning ability of the controller and the robustness against parameter variations and external disturbances.•The AFC developed for this study has real-time learning abilities that can be used for adjusting the coefficients of the TSK fuzzy consequence.•Lyapunov theory is used for deriving the stability condition of the SMC and the adaptive update law of the AFC.
Year
DOI
Venue
2018
10.1016/j.asoc.2018.02.023
Applied Soft Computing
Keywords
Field
DocType
TSK-fuzzy controller,Sliding mode control,Switched reluctance motor,Direct torque control
Switched reluctance motor,Control theory,Mathematical optimization,Torque,Torque sensor,Control theory,Fuzzy logic,Direct torque control,Lyapunov stability,Mathematics,Electronic speed control
Journal
Volume
ISSN
Citations 
66
1568-4946
2
PageRank 
References 
Authors
0.40
5
3
Name
Order
Citations
PageRank
Shun-Yuan Wang194.86
Foun-Yuan Liu222.09
Jen-Hsiang Chou364.40