Abstract
The main goal of this study was to study the performance of fuzzy logic controllers combined with simplified hybrid amplitude/pulse-width (AM/PW) modulation to regulate muscle force via nerve electrical stimulation. The recruitment curves with AM/PW and AM modulations were constructed for the calf muscles of rabbits. Integrated with the modulation methods, a proportional-integral-derivative (PID) and three fuzzy logic controllers were designed and applied for the electrical stimulation of tibial nerves to control the ankle torque under isometric conditions. The performance of the two modulation methods combined with the four controllers was compared when the ankle was fixed at three positions for both in vivo experiments and model simulations using a nonlinear muscle model. For the animal experiments, AM/PW modulation performed better than AM modulation alone. The fuzzy PI controller performed marginally better and was resistant to external noises, though it tended to have a larger overshoot. The performance of the controllers had a similar trend in the three different joint positions, and the simulation results with the nonlinear model matched the experimental results well. In conclusion, AM/PW modulation improved controller performance, while the contribution of fuzzy logic was only marginal.
| Original language | English |
|---|---|
| Article number | 026026 |
| Journal | Journal of Neural Engineering |
| Volume | 9 |
| Issue number | 2 |
| DOIs | |
| Publication status | Published - 2012 Apr 1 |
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All Science Journal Classification (ASJC) codes
- Biomedical Engineering
- Cellular and Molecular Neuroscience
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Fuzzy control with amplitude/pulse-width modulation of nerve electrical stimulation for muscle force control. / Lin, Chou-Ching; Liu, W. C.; Chan, C. C.; Ju, Ming-Shaung.
In: Journal of Neural Engineering, Vol. 9, No. 2, 026026, 01.04.2012.Research output: Contribution to journal › Article
TY - JOUR
T1 - Fuzzy control with amplitude/pulse-width modulation of nerve electrical stimulation for muscle force control
AU - Lin, Chou-Ching
AU - Liu, W. C.
AU - Chan, C. C.
AU - Ju, Ming-Shaung
PY - 2012/4/1
Y1 - 2012/4/1
N2 - The main goal of this study was to study the performance of fuzzy logic controllers combined with simplified hybrid amplitude/pulse-width (AM/PW) modulation to regulate muscle force via nerve electrical stimulation. The recruitment curves with AM/PW and AM modulations were constructed for the calf muscles of rabbits. Integrated with the modulation methods, a proportional-integral-derivative (PID) and three fuzzy logic controllers were designed and applied for the electrical stimulation of tibial nerves to control the ankle torque under isometric conditions. The performance of the two modulation methods combined with the four controllers was compared when the ankle was fixed at three positions for both in vivo experiments and model simulations using a nonlinear muscle model. For the animal experiments, AM/PW modulation performed better than AM modulation alone. The fuzzy PI controller performed marginally better and was resistant to external noises, though it tended to have a larger overshoot. The performance of the controllers had a similar trend in the three different joint positions, and the simulation results with the nonlinear model matched the experimental results well. In conclusion, AM/PW modulation improved controller performance, while the contribution of fuzzy logic was only marginal.
AB - The main goal of this study was to study the performance of fuzzy logic controllers combined with simplified hybrid amplitude/pulse-width (AM/PW) modulation to regulate muscle force via nerve electrical stimulation. The recruitment curves with AM/PW and AM modulations were constructed for the calf muscles of rabbits. Integrated with the modulation methods, a proportional-integral-derivative (PID) and three fuzzy logic controllers were designed and applied for the electrical stimulation of tibial nerves to control the ankle torque under isometric conditions. The performance of the two modulation methods combined with the four controllers was compared when the ankle was fixed at three positions for both in vivo experiments and model simulations using a nonlinear muscle model. For the animal experiments, AM/PW modulation performed better than AM modulation alone. The fuzzy PI controller performed marginally better and was resistant to external noises, though it tended to have a larger overshoot. The performance of the controllers had a similar trend in the three different joint positions, and the simulation results with the nonlinear model matched the experimental results well. In conclusion, AM/PW modulation improved controller performance, while the contribution of fuzzy logic was only marginal.
UR - http://www.scopus.com/inward/record.url?scp=84859146648&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84859146648&partnerID=8YFLogxK
U2 - 10.1088/1741-2560/9/2/026026
DO - 10.1088/1741-2560/9/2/026026
M3 - Article
C2 - 22422279
AN - SCOPUS:84859146648
VL - 9
JO - Journal of Neural Engineering
JF - Journal of Neural Engineering
SN - 1741-2560
IS - 2
M1 - 026026
ER -