An adaptive TS fuzzy-PID controller applied to an active knee prosthesis based on Human walk

被引：0
作者：
Wiem, Abdallah [1 ]
Rahma, Boucetta [1 ,2 ]
Naoui, Saloua Bel Hadj Ali [1 ,3 ]
机构：
[1] Univ Gabes, Natl Engn Sch Gabes, Modeling Anal & Control Syst MACS Lab, Zrig 6029, Gabes, Tunisia
[2] Univ Sfax, Sci Fac Sfax, Rd Soukra, Sfax 3000, Tunisia
[3] El Manar Univ, Preparatory Inst Engn Studies El Manar, Campus Farhat Hached,BP N94 ROMMANA, Tunis 1068, Tunisia
来源：
2018 INTERNATIONAL CONFERENCE ON ADVANCED SYSTEMS AND ELECTRICAL TECHNOLOGIES (IC_ASET) | 2017年
关键词：
knee; active prosthesis; fuzzy; Takagi-Sugeno; control; PID;
D O I：
暂无
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
To ameliorate living conditions of people suffering from limb amputations, artificial prothesis are developed to follow Human body locomotion. This paper aims to depict and evaluate the dynamic modeling and control strategy for an Active Knee Prosthesis (APK). As a first step, the motion equations governing the APK are derived using Euler-Lagrange method. Then, human healthy leg data is used to build a knowledge based fuzzy inference system (FIS) to control the dynamic motions of the APK. An adaptive fuzzy-PID controller is designed to generate desired angles deduced from healthy leg. A conclusion finished the paper.
引用
收藏
页码：22 / 27
页数：6
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