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

Volume

3

fYear

1997

fDate

30 Oct-2 Nov 1997

Firstpage

1119

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;

fLanguage

English

Publisher

ieee

Conference_Titel

Engineering in Medicine and Biology Society, 1997. Proceedings of the 19th Annual International Conference of the IEEE

Conference_Location

Chicago, IL

ISSN

1094-687X

Print_ISBN

0-7803-4262-3

Type

conf

DOI

10.1109/IEMBS.1997.756548

Filename

756548