DocumentCode :
318040
Title :
Adaptive fuzzy sliding mode control of a direct drive motor
Author :
Kim, Young T. ; Akbarzadeh-T., M.R. ; Lee, Dong Wood ; Lee, Soo Ryong
Author_Institution :
NASA Center for Autonomous Control Eng., New Mexico Univ., Albuquerque, NM, USA
Volume :
2
fYear :
1997
fDate :
12-15 Oct 1997
Firstpage :
1668
Abstract :
A new approach to stable adaptive fuzzy sliding mode control of systems is proposed. The proposed scheme does not require an accurate mathematical model, yet it guarantees asymptotic stability. It incorporates an integral term in the sliding surface which eliminates steady state error. To verify the actual performance of the proposed controller, it is then applied to a position control of direct drive motor with payload and parameter uncertainty. Since direct drive motors do not have reduction gears, the variation of the load and the disturbance torque directly influence parameter changes in motor dynamics
Keywords :
adaptive control; asymptotic stability; electric drives; fuzzy control; fuzzy logic; position control; variable structure systems; adaptive control; asymptotic stability; direct drive motor; fuzzy control; fuzzy logic; motor dynamics; position control; sliding mode control; variable structure system; Adaptive control; Asymptotic stability; Fuzzy control; Fuzzy systems; Mathematical model; Payloads; Position control; Programmable control; Sliding mode control; Steady-state;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Systems, Man, and Cybernetics, 1997. Computational Cybernetics and Simulation., 1997 IEEE International Conference on
Conference_Location :
Orlando, FL
ISSN :
1062-922X
Print_ISBN :
0-7803-4053-1
Type :
conf
DOI :
10.1109/ICSMC.1997.638248
Filename :
638248
Link To Document :
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