DocumentCode :
2273873
Title :
A hierarchical fuzzy controller using line-curvature feature extraction for a single link flexible arm
Author :
Akbarzadeh-Totonchi, Mohammad R. ; Jamshidi, Mo ; Vadiee, Nader
Author_Institution :
Dept. of Electr. & Comput. Eng., New Mexico Univ., Albuquerque, NM, USA
fYear :
1994
fDate :
26-29 Jun 1994
Firstpage :
524
Abstract :
A two-level hierarchical fuzzy controller is developed for a single flexible link. The second level of hierarchy monitors the behavior of the robot arm and extracts features such as straight, oscillatory, gently curved. This is accomplished using a fuzzy feature extraction technique which incorporates line-curvature data computed over a finite number of discrete points along the length of the robot arm. The line-curvature data are computed from measurements of a finite number of strain sensors. The fuzzy features such as straight, oscillatory, gently curved, the angular position measurements of the tip of the robot arm, and the torque of the motor constitute a basis of information for the first level of the hierarchical fuzzy controller
Keywords :
feature extraction; fuzzy control; hierarchical systems; manipulators; angular position measurements; discrete points; fuzzy feature extraction; hierarchical fuzzy controller; line-curvature; line-curvature data; motor torque; single link flexible robot arm; strain sensors; Control systems; Data mining; Feature extraction; Fuzzy control; Fuzzy systems; Intelligent robots; Robot control; Robot sensing systems; Service robots; Strain measurement;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Fuzzy Systems, 1994. IEEE World Congress on Computational Intelligence., Proceedings of the Third IEEE Conference on
Conference_Location :
Orlando, FL
Print_ISBN :
0-7803-1896-X
Type :
conf
DOI :
10.1109/FUZZY.1994.343730
Filename :
343730
Link To Document :
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