Title :
Intelligent traction control for wheeled space vehicles
Author :
Pennacchio, Salvatore ; Rizzo, Davide
Author_Institution :
Univ. of Palermo Viale delle Scienze
Abstract :
This paper presents the SC-MER, safety control for Mars exploration rover, an innovative traction control scheme for wheeled mobile vehicles. The system is thought to be used on space mission rovers and is based on fuzzy logic and competitive neural networks to achieve optimal navigation on rough terrain with variable morphology. The main goal of this research is to minimize the power consumption needed during the navigation and improve the overall stability and safety of the rover itself
Keywords :
fuzzy control; fuzzy logic; intelligent control; mobile robots; neural nets; neurocontrollers; power consumption; space vehicles; SC-MER; competitive neural network; fuzzy logic; intelligent traction control; power consumption; space mission; variable morphology; wheeled space vehicle; Fuzzy logic; Intelligent control; Intelligent vehicles; Mars; Morphology; Navigation; Neural networks; Space missions; Space vehicles; Vehicle safety;
Conference_Titel :
Emerging Technologies and Factory Automation, 2005. ETFA 2005. 10th IEEE Conference on
Conference_Location :
Catania
Print_ISBN :
0-7803-9401-1
DOI :
10.1109/ETFA.2005.1612525
