Title :
Reduce the effects of lower-frequency nuclear radiations on rescuing robots and manipulators using a nested fuzzy controller
Author :
Bai, Ying ; Wang, Dali
Author_Institution :
Dept. of Comput. Sci. & Eng., Johnson C. Smith Univ., Charlotte, NC, USA
Abstract :
It is critically important to develop intelligent mobile robots to effectively reduce the effects of nuclear radiations to perform desired rescuing tasks in critical emergency situations. One of the good examples is the recent nuclear disposing damage to the Japanese nuclear power plants after the earth quick occurred in the northeast of Japan. In this study, a nested fuzzy logic control system is designed for mobile robots to effectively reduce the effects of those lower-frequency nuclear radiations on rescuing robots. A coarse and a fine fuzzy controller are combined together to realize this objective. The simulation and experimental results of this study confirmed the effectiveness of this nested fuzzy control system in reduction of the effects of lower-frequency nuclear radiations on mobile robots. This is the first paper related to this topic to be presented.
Keywords :
fuzzy control; intelligent robots; manipulators; mobile robots; nuclear power stations; Japanese nuclear power plants; fine fuzzy controller; intelligent mobile robots; lower-frequency nuclear radiations; manipulator; nested fuzzy controller; nested fuzzy logic control system; rescuing robots; Australia; Computational intelligence; Government; nested fuzzy controller; nuclear power plants; nuclear power radiations; rescuing manipulators; rescuing robots;
Conference_Titel :
Fuzzy Systems (FUZZ-IEEE), 2012 IEEE International Conference on
Conference_Location :
Brisbane, QLD
Print_ISBN :
978-1-4673-1507-4
Electronic_ISBN :
1098-7584
DOI :
10.1109/FUZZ-IEEE.2012.6251240