Application of Fuzzy Logic to Design of Functional Neuromuscular Stimulation Controller

碩士 === 國立成功大學 === 機械工程學系碩博士班 === 94 === Abstract The functional neuromuscular stimulation (FNS) is a major method in neural engineering for restoring the patients who lose the connection between central and peripheral nervous systems. IN FNS an implanted electrode, e.g. cuff electrode contacts w...

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Main Authors: Wei-Cheng Liu, 劉威呈
Other Authors: Ming-Shaung Ju
Format: Others
Language:zh-TW
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/77621945205491128823
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spelling ndltd-TW-094NCKU54900852016-05-30T04:21:59Z http://ndltd.ncl.edu.tw/handle/77621945205491128823 Application of Fuzzy Logic to Design of Functional Neuromuscular Stimulation Controller 模糊邏輯於功能性神經電刺激控制器之應用 Wei-Cheng Liu 劉威呈 碩士 國立成功大學 機械工程學系碩博士班 94 Abstract The functional neuromuscular stimulation (FNS) is a major method in neural engineering for restoring the patients who lose the connection between central and peripheral nervous systems. IN FNS an implanted electrode, e.g. cuff electrode contacts with the peripheral nerve and the amplitude and pulse-width of the stimulus current is controlled by an electrical stimulator. Due to the time-varying characteristics of muscle recruitment and fast fatigue of artificially stimulated muscles, it is necessary to develop a method which can simultaneously control the amplitude and pulse-width of the stimulus and combined with feedback control algorithms to yield better FNS. The goal of this thesis is to develop a simplified amplitude/pulse-width modulation (SAWM) technique and combined with a PID and three fuzzy controls, namely, Fuzzy PD, Fuzzy PI, Fuzzy PD+I to the isometric ankle torque control of anesthetized rabbits. The rabbit’s ankle was fixed at natural and various positions in the range of motion and different control algorithms were employed to test the step response of the FNS system. Experimental results showed that: (1) Fuzzy PD has fast response, small overshoot percentage but high sensitivity to disturbance and large steady-state error (2) Fuzzy PD+I has fast response, small overshoot percentage and small steady-state error (3) Fuzzy PI has smallest steady-state error, smaller settling time, smoother control signal but large overshoot percentage. For the integrated time multiplied by absolute error (ITAE), the Fuzzy PI is superior to others. From the results, one may conclude that the SAWM technique is effective in preventing the fatigue of stimulated muscles. Fuzzy PI control is better than PID control and it is adaptive to the ankle position for isometric torque control on anesthetized rabbits. Ming-Shaung Ju C.-C. K Lin 朱銘祥 林宙晴 2006 學位論文 ; thesis 73 zh-TW
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description 碩士 === 國立成功大學 === 機械工程學系碩博士班 === 94 === Abstract The functional neuromuscular stimulation (FNS) is a major method in neural engineering for restoring the patients who lose the connection between central and peripheral nervous systems. IN FNS an implanted electrode, e.g. cuff electrode contacts with the peripheral nerve and the amplitude and pulse-width of the stimulus current is controlled by an electrical stimulator. Due to the time-varying characteristics of muscle recruitment and fast fatigue of artificially stimulated muscles, it is necessary to develop a method which can simultaneously control the amplitude and pulse-width of the stimulus and combined with feedback control algorithms to yield better FNS. The goal of this thesis is to develop a simplified amplitude/pulse-width modulation (SAWM) technique and combined with a PID and three fuzzy controls, namely, Fuzzy PD, Fuzzy PI, Fuzzy PD+I to the isometric ankle torque control of anesthetized rabbits. The rabbit’s ankle was fixed at natural and various positions in the range of motion and different control algorithms were employed to test the step response of the FNS system. Experimental results showed that: (1) Fuzzy PD has fast response, small overshoot percentage but high sensitivity to disturbance and large steady-state error (2) Fuzzy PD+I has fast response, small overshoot percentage and small steady-state error (3) Fuzzy PI has smallest steady-state error, smaller settling time, smoother control signal but large overshoot percentage. For the integrated time multiplied by absolute error (ITAE), the Fuzzy PI is superior to others. From the results, one may conclude that the SAWM technique is effective in preventing the fatigue of stimulated muscles. Fuzzy PI control is better than PID control and it is adaptive to the ankle position for isometric torque control on anesthetized rabbits.
author2 Ming-Shaung Ju
author_facet Ming-Shaung Ju
Wei-Cheng Liu
劉威呈
author Wei-Cheng Liu
劉威呈
spellingShingle Wei-Cheng Liu
劉威呈
Application of Fuzzy Logic to Design of Functional Neuromuscular Stimulation Controller
author_sort Wei-Cheng Liu
title Application of Fuzzy Logic to Design of Functional Neuromuscular Stimulation Controller
title_short Application of Fuzzy Logic to Design of Functional Neuromuscular Stimulation Controller
title_full Application of Fuzzy Logic to Design of Functional Neuromuscular Stimulation Controller
title_fullStr Application of Fuzzy Logic to Design of Functional Neuromuscular Stimulation Controller
title_full_unstemmed Application of Fuzzy Logic to Design of Functional Neuromuscular Stimulation Controller
title_sort application of fuzzy logic to design of functional neuromuscular stimulation controller
publishDate 2006
url http://ndltd.ncl.edu.tw/handle/77621945205491128823
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