Title :
Fuzzy Controller for Obstacle Avoidance in Electric Wheelchair with Ultrasonic Sensors
Author :
Liu, Gang ; Yao, Meng ; Zhang, Lei ; Zhang, Chao
Author_Institution :
Dept. of Autom. Control, Henan Mech. & Electr. Eng. Coll., Xinxiang, China
Abstract :
Electric wheelchair navigation is based on A strategy for fuzzy logic. The main features of the electric wheelchair are to navigate freely in an unknown environment and avoid the other objects as obstacles. A combination of ultrasonic sensors is used to facilitate navigation and obstacle avoidance. The fuzzy behavior producer is embedded in an 8-bit chip. The control software implements behavior-based artificial intelligence. The obstacle avoidance behaviors are successfully implemented by formulating a set of fuzzy rules.
Keywords :
artificial intelligence; collision avoidance; fuzzy control; fuzzy logic; handicapped aids; wheelchairs; artificial intelligence; electric wheelchair navigation; fuzzy behavior producer; fuzzy controller; fuzzy logic; fuzzy rules; obstacle avoidance; ultrasonic sensors; Acoustics; Mobile robots; Niobium; Robot sensing systems; Wheelchairs; Wheels; Fuzzy controller; electric wheelchair; obstacle avoidance; ultrasonic sensor;
Conference_Titel :
Computer Science and Society (ISCCS), 2011 International Symposium on
Conference_Location :
Kota Kinabalu
Print_ISBN :
978-1-4577-0644-8
DOI :
10.1109/ISCCS.2011.27
