Ant Colony Optimization Tuning PID Algorithm for Precision Control of Functional Electrical Stimulation

被引：2

作者：

Qiu, Shuang ^{[1
]}

Xu, Rui ^{[1
]}

Zhai, Tianchen ^{[1
]}

Fu, Anshuang ^{[1
]}

Xu, Qiang ^{[1
]}

Qi, Hongzhi ^{[1
]}

Zhou, Peng ^{[1
]}

Zhang, Lixin ^{[1
]}

Wan, Baikun ^{[1
]}

Wang, Weijie ^{[2
]}

Abboud, Rami ^{[2
]}

Ming, Dong ^{[1
]}

机构：

[1] Tianjin Univ, Dept Biomed Engn, Coll Precis Instruments & Optoelect Engn, Lab Neural Engn & Rehabil, Tianjin 300072, Peoples R China

[2] Univ Dundee, Ninewells Hosp & Med Sch, Dept Orthopaed & Trauma Surg, Dundee, Scotland

来源：

BIOMEDICAL ENGINEERING-BIOMEDIZINISCHE TECHNIK | 2013年 / 58卷

基金：

中国国家自然科学基金;

关键词：

feedback control; FES; PID; ACO; GA;

D O I：

10.1515/bmt-2013-4017

中图分类号：

R318 [生物医学工程];

学科分类号：

0831 ;

摘要：

Functional electrical stimulation (FES) can restore motor function in individuals with spinal cord injury (SCI). Neuroprostheses based on FES apply electric stimuli to induce muscle contractions and the corresponding joint movements. The goal of this study was to design a novel FES controller, and the attention is focused on the feedback control of the knee-joint movements induced by electrical stimulation of the quadriceps muscle group. Ant colony optimization algorithm is employed to modulate the proportional, integral and derivative values of PID controller. The promising results showed the ACO-PID controller functioned as expected and performed better than the GA-PID controller. This method for a knee-joint movement resulted in decrease of the tracking error and shortened delay in the response, which may be applied in walking-assisted FES.

引用

页数：2

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