DocumentCode :
1837468
Title :
Bionic eye system based on fuzzy adaptive PID control
Author :
Yumei Zhou ; Jun Luo ; Juqi Hu ; Hengyu Li ; Shaorong Xie
Author_Institution :
Mechatron. Eng. Dept., Shanghai Univ., Shanghai, China
fYear :
2012
fDate :
11-14 Dec. 2012
Firstpage :
1268
Lastpage :
1272
Abstract :
The core of building bionic eye system is to imitate the function of human eye neural circuit so as to design the corresponding control strategy. In this paper, fuzzy adaptive PID control method is adopted to realize the function similar to vestibular nucleus´. Besides, the transfer function of controlled object is established according to medical research so as to determine the variation range of PID parameters in MATLAB environment. In the end, this control strategy is applied to the real bionic eye system based on the spherical parallel mechanism and plenty of experiments are conducted which show quick-response performance and robustness of the control system that conforms to human eye motion control mechanism.
Keywords :
adaptive control; biocybernetics; control system synthesis; eye; fuzzy control; motion control; robots; three-term control; transfer functions; MATLAB environment; bionic eye system; control strategy design; fuzzy adaptive PID control; human eye motion control mechanism; human eye neural circuit; medical research; robotic bionic eye; spherical parallel mechanism; transfer function;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Robotics and Biomimetics (ROBIO), 2012 IEEE International Conference on
Conference_Location :
Guangzhou
Print_ISBN :
978-1-4673-2125-9
Type :
conf
DOI :
10.1109/ROBIO.2012.6491144
Filename :
6491144
Link To Document :
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