ANFIS-PID Control FES-Supported Sit-to-Stand in Paraplegics: (Simulation Study)

作     者：Rufaida Hussain Rasha Massoud Moustafa Al-Mawaldi 

作者机构：Department of Biomedical Engineering Electrical and Mechanical Engineering Faculty Damascus University Damascus Syria 

出 版 物：《Journal of Biomedical Science and Engineering》 (生物医学工程（英文）)

年 卷 期：2014年第7卷第4期

页      面：208-217页

学科分类：0711[理学-系统科学] 07[理学] 08[工学] 081101[工学-控制理论与控制工程] 0811[工学-控制科学与工程] 071102[理学-系统分析与集成] 081103[工学-系统工程] 

主　　题：Adaptive Neuro-Fuzzy Inference System (ANFIS) Functional Electrical Stimulation (FES) Sit to Stand Model Simulation 

摘      要：Adaptive Neuro-fuzzy Inference System (ANFIS) controller was designed to control knee joint during sit to stand movement through electrical stimuli to quadriceps muscles. The developed ANFIS works as an inverse model to the system (functional electrical stimulation (FES)-induced quadriceps-lower leg system), while there is a proportional-integral-derivative (PID) controller in the feedback control. They were designated as ANFIS-PID controller. To evaluate the ANFIS-PID controller, two controllers were developed: open loop and feedback controllers. The results showed that ANFIS-PID controller not only succeeded in controlling knee joint motion during sit to stand movement, but also reduced the deviations between desired trajectory and actual knee movement to ±5°. Promising simulation results provide the potential for feasible clinical application in the future.