DocumentCode :
1944321
Title :
VHDL implementation of the hybrid fuzzy logic controllers with FPGA
Author :
Zhang, Nian ; Kamdem, Roland ; Ososanya, Esther ; Mahmoud, Wagdy ; Liu, Wenxin
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of the District of Columbia, Washington, DC, USA
fYear :
2010
fDate :
13-15 Aug. 2010
Firstpage :
5
Lastpage :
10
Abstract :
In this paper, the VHDL implementation of an intelligent navigation system using hybrid fuzzy controllers has been proposed. Two parallel fuzzy logic controllers are utilized to conquer the major mobile robot navigation challenges in narrow concave U-shaped obstacles, and deep narrow passage, and to track a target in an environment with varying obstacles. The results demonstrate the suitability of the FPGAs in control tasks for multiple fuzzy logic controllers. The implementation of the control units for the robot with FPGA is an important approach in the way for building a real prototype. The proposed algorithm involves fuzzy model of robot navigation system and the hybrid controllers are designed and evaluated based on this models. Such a method will further advance the development of a real-world intelligent control system for performance evaluation of various control strategies in a prototype robotic vehicle.
Keywords :
hardware description languages; mobile robots; path planning; FPGA; VHDL implementation; hybrid fuzzy logic controller; intelligent navigation system; mobile robot navigation; Control systems; Field programmable gate arrays; Fuzzy logic; Mobile robots; Navigation; Robot kinematics;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Intelligent Control and Information Processing (ICICIP), 2010 International Conference on
Conference_Location :
Dalian
Print_ISBN :
978-1-4244-7047-1
Type :
conf
DOI :
10.1109/ICICIP.2010.5564277
Filename :
5564277
Link To Document :
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