TY - GEN
T1 - Fuzzy logic control for active ankle foot orthosis
AU - Kanthi, M.
AU - Mruthyunjaya, H. S.
AU - George, V. I.
PY - 2013
Y1 - 2013
N2 - This paper presents the control design of an ankle foot orthosis for the drop foot gait. In this project a fuzzy controller is developed to control the symmetry in gait. The gait patterns are monitored through National Instrument's data acquisition system which is interfaced with a gyro sensor. A self-adaptive fuzzy logic controller along with a fuzzy rule base is developed to provide corrective actuation to the defective foot. The sensor data is then fed as an input to the fuzzy logic controller which generates the control signal for the actuator in real time.
AB - This paper presents the control design of an ankle foot orthosis for the drop foot gait. In this project a fuzzy controller is developed to control the symmetry in gait. The gait patterns are monitored through National Instrument's data acquisition system which is interfaced with a gyro sensor. A self-adaptive fuzzy logic controller along with a fuzzy rule base is developed to provide corrective actuation to the defective foot. The sensor data is then fed as an input to the fuzzy logic controller which generates the control signal for the actuator in real time.
UR - http://www.scopus.com/inward/record.url?scp=84887832857&partnerID=8YFLogxK
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U2 - 10.1109/FUZZ-IEEE.2013.6622320
DO - 10.1109/FUZZ-IEEE.2013.6622320
M3 - Conference contribution
AN - SCOPUS:84887832857
SN - 9781479900220
T3 - IEEE International Conference on Fuzzy Systems
BT - FUZZ-IEEE 2013 - 2013 IEEE International Conference on Fuzzy Systems
T2 - 2013 IEEE International Conference on Fuzzy Systems, FUZZ-IEEE 2013
Y2 - 7 July 2013 through 10 July 2013
ER -