DocumentCode
3224651
Title
Adaptive sliding mode controller design for mobile robot fault tolerant control. introducing ARTEMIC.
Author
Axenie, Cristian ; Cernega, Daniela
Author_Institution
Autom. & Ind. Inf. Dept., Dunarea de Jos Univ., Galati, Romania
fYear
2010
fDate
24-26 June 2010
Firstpage
253
Lastpage
259
Abstract
Current real-time applications should timely deliver synchronized data-sets, minimize latency in their response and meet their performance specifications in the presence of disturbances and faults. The adaptive features of the designed controller are present at the lower control level using specific artificial intelligence techniques. Fuzzy inference system design is the fundamental element to generate an adaptive nonlinear controller for the robot operation in the presence of disturbances and modeling inaccuracies. This paper introduces an adaptive real-time distributed control application with fault tolerance capabilities for differential wheeled mobile robots, named ARTEMIC. Specific design, development and implementation details will be provided in this paper.
Keywords
adaptive control; control system synthesis; distributed control; fault tolerance; fuzzy control; inference mechanisms; mobile robots; nonlinear control systems; variable structure systems; ARTEMIC robot; adaptive nonlinear controller; adaptive sliding mode controller design; artificial intelligence techniques; differential wheeled mobile robots; distributed control application; fault tolerant control; fuzzy inference system; Adaptive control; Artificial intelligence; Delay; Fault tolerance; Fuzzy control; Fuzzy systems; Mobile robots; Programmable control; Robot control; Sliding mode control; Distributed Control; EKF; Fault Tolerant Control; Mobile Robotics; Real-Time Linux; Sliding mode;
fLanguage
English
Publisher
ieee
Conference_Titel
Robotics in Alpe-Adria-Danube Region (RAAD), 2010 IEEE 19th International Workshop on
Conference_Location
Budapest
Print_ISBN
978-1-4244-6885-0
Type
conf
DOI
10.1109/RAAD.2010.5524575
Filename
5524575
Link To Document