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

Shah Riaz, L. Khan
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Abstract

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.
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坐位孕体生物动力振动阻尼控制的自适应软计算算法
本文研究了垂直振动对驾驶员位置55公斤孕妇生物动力学模型的影响。研究基于11自由度孕妇生物动力学模型和8自由度全车非线性主动悬架模型。现有文献多侧重于研究振动对非孕妇的影响,而对垂直振动下坐着孕妇的生物动力学反应研究较少。由于怀孕导致的质量增加被纳入生物动力学数学模型。采用集总参数生物动力学模型进行减振和频率控制。为了提高孕妇坐式驾驶的乘坐质量,降低对胎儿和母亲的伤害风险,开发了一种先进的自适应神经模糊控制技术(NFTSK)。针对随机高斯外部道路轮廓验证了先进的自适应控制技术的性能,并将结果与被动控制和PID控制进行了比较,以进一步验证性能。
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