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ANFIS-PID Control FES-Supported Sit-to-Stand in Paraplegics: (Simulation Study)
Department of Biomedical Engineering, Electrical and Mechanical Engineering Faculty, Damascus University, Damascus, Syria
Department of Biomedical Engineering, Electrical and Mechanical Engineering Faculty, Damascus University, Damascus, Syria
Department of Biomedical Engineering, Electrical and Mechanical Engineering Faculty, Damascus University, Damascus, Syria
- 1 Department of Biomedical Engineering, Electrical and Mechanical Engineering Faculty, Damascus University, Damascus, Syria
- 2 Department of Biomedical Engineering, Electrical and Mechanical Engineering Faculty, Damascus University, Damascus, Syria
- 3 Department of Biomedical Engineering, Electrical and Mechanical Engineering Faculty, Damascus University, Damascus, Syria
Journal of Biomedical Science and Engineering·Volume 07 (2014)·Pages 208–217·Published 6 March 2014·DOI10.4236/jbise.2014.74024
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Abstract
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.
KeywordsAdaptive Neuro-Fuzzy Inference System (ANFIS)Functional Electrical Stimulation (FES)Sit to StandModelSimulation
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