Title :
Implementation of an adaptive fuzzy controller for FES-cycling system
Author :
Ann, Bao-Ting ; Chen, Jia-Jin J. ; Ju, Ming-Shaung
Author_Institution :
Inst. of Biomed. Eng., Nat. Cheng Kung Univ., Tainan, Taiwan
fDate :
30 Oct-2 Nov 1997
Abstract :
An adaptive fuzzy logic control (AFLC) system has been designed for the control of functional electrical stimulation (FES) cycling system. Among the AFLC strategies, the fuzzy gain scheduling approach is adopted herein. The AFLC FES-cycling system is implemented in a stand alone digital signal processor which provides a compact device for clinical use
Keywords :
adaptive control; biocontrol; bioelectric phenomena; biomechanics; controllers; fuzzy control; medical signal processing; neuromuscular stimulation; FES-cycling system; adaptive fuzzy controller; clinical use; compact device; cycling exercise; functional electrical stimulation cycling system control; muscle endurance; muscle strength increase; spinal cord injury patients; stand alone digital signal processor; Adaptive control; Control systems; Digital signal processors; Error correction; Fuzzy control; Fuzzy logic; Fuzzy systems; Muscles; Processor scheduling; Programmable control;
Conference_Titel :
Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-4262-3
DOI :
10.1109/IEMBS.1997.756548
