Seated pregnant subject biodynamics response enhancement against road irregularities using adaptive NeuroFuzzy control

Article type: Research Article

Authors: Riaz, Shah^{; *} | Khan, Laiq | Karam, Fazal Wahab

Affiliations: Department of Electrical and Computer Engineering, COMSATS University Islamabad, Abbottabad Campus, Pakistan

Correspondence: [*] Corresponding author. Shah Riaz, Department of Electrical and Computer Engineering, COMSATS University Islamabd, Abbottabad Campus, Pakistan. E-mail: sriaz@cuiatd.edu.pk.

Abstract:  Human-beings in general and pregnant subjects (characterized by a sophisticated dynamic system) in particular are sensitive to whole-body vibrations (WBV) in sitting position while driving. The published literature is thickly populated with the investigation of WBV effects on non-pregnant subjects but sparsely populated with the biodynamic response enhancement of the pregnant subjects in driving conditions. In this paper, the biodynamic response analysis of eleven degrees of freedom (11-DoF) seated pregnant subject at the driver position is carried out while being exposed to vibrations induced by inherent road irregularities. An advanced adaptive NeuroFuzzy (AdaptNeuroFuzzy) control strategy for active suspensions of nineteen degrees of freedom (19-DoF) integrated vehicle-pregnant subject model is designed to attenuate harmful vibrations and protect the seated pregnant subject and fetus against the risk of damages. Matlab/simulink is employed to carry out simulations. Performance validation of the proposed advanced intelligent control strategy based suspension system is accomplished through comparison with the passive, PID, adaptive PID (AdapPID) and adaptive fuzzy logic control (AdapFLC) via standard performance indices, using an ISO-classified standard random road profile.

Keywords: Adaptive NeuroFuzzy control, integrated vehicle-pregnant subject, seated pregnant subject, vibration attenuation, whole body vibration

DOI: 10.3233/JIFS-191376

Journal: Journal of Intelligent & Fuzzy Systems, vol. 38, no. 4, pp. 4603-4617, 2020