DocumentCode :
2524348
Title :
Adaptive Neuro-Fuzzy Inference System based control of robotic manipulators
Author :
Adhyaru, Dipak M. ; Patel, Jimit ; Gianchandani, Rishi
Author_Institution :
Instrum. & Control Eng. Dept., Nirma Univ., Ahmedabad, India
fYear :
2010
fDate :
10-12 Sept. 2010
Firstpage :
353
Lastpage :
358
Abstract :
Robot manipulators have become increasingly important in the field of flexible automation. Through the years considerable research effort has been made in their controller design. In order to achieve accurate trajectory tracking and good control performance, a number of control schemes have been developed. Amongst these, ANFIS (Adaptive Neuro-Fuzzy Inference System) has provided best results for control of robotic manipulators as compared to the conventional control strategies.
Keywords :
adaptive systems; control system synthesis; flexible manipulators; fuzzy neural nets; inference mechanisms; manipulator dynamics; ANFIS; adaptive neuro-fuzzy inference system; controller design; flexible automation; robotic manipulator; trajectory tracking; Robots; Fuzzy logic; Neural Network; Robot Controller;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Mechanical and Electrical Technology (ICMET), 2010 2nd International Conference on
Conference_Location :
Singapore
Print_ISBN :
978-1-4244-8100-2
Electronic_ISBN :
978-1-4244-8102-6
Type :
conf
DOI :
10.1109/ICMET.2010.5598379
Filename :
5598379
Link To Document :
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