Adaptive soft computing algorithm for seated pregnant subject biodynamic vibrations damping control

In this paper, effect of the vertical vibrations on biodynamic model of a 55 kg pregnant woman seated at the driver place is carried out. Investigation is based on eleven degrees of freedom biodynamic pregnant woman model and eight degree of freedom full-car nonlinear active suspension model. In the...

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Vydané v:2016 International Conference on Intelligent Systems Engineering (ICISE) s. 167 - 174
Hlavní autori: Riaz, Shah, Khan, Laiq
Médium: Konferenčný príspevok..
Jazyk:English
Vydavateľské údaje: IEEE 01.01.2016
Predmet:
Active suspension
Biological system modeling
Full car
Mathematical model
NeuroFuzzy Takagi Sugeno Kang (NFTSK)
Pregnancy
Pregnant seated subject
Roads
Suspensions
Vehicles
Vibration damping
Vibrations
ISBN:1467387525, 9781467387521
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Popis
Shrnutí:In this paper, effect of the vertical vibrations on biodynamic model of a 55 kg pregnant woman seated at the driver place is carried out. Investigation is based on eleven degrees of freedom biodynamic pregnant woman model and eight degree of freedom full-car nonlinear active suspension model. In the exiting literature, more emphasis is devoted towards the effect of vibrations on nonpregnant subject while little work is done on the biodynamic response of pregnant seated woman exposed to vertical vibrations. The mass increase due to pregnancy is incorporated in the biodynamic mathematical model. The lumped-parameter biodynamic model is implemented for vibration damping and frequency control. An advanced adaptive NeuroFuzzy Takagi Sugeno Kang (NFTSK) control technique is developed for ride quality improvement of the seated pregnant woman driver and to reduce the risk of damages both to fetus and mother. Performance of the advanced adaptive control technique is validated against the random gaussian external road profile and results are compared with passive and PID control for further validation of the performance.
ISBN:1467387525
9781467387521
DOI:10.1109/INTELSE.2016.7475115