Novel Motion Sickness Minimization Control via Fuzzy-PID Controller for Autonomous Vehicle

In terms of vehicle dynamics, motion sickness (MS) occurs because of the large lateral acceleration produced by inappropriate wheel turning. In terms of passenger behavior, subjects experience MS because they normally tilt their heads towards the direction of lateral acceleration. Relating these vie...

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Bibliographic Details
Published inApplied sciences Vol. 10; no. 14; p. 4769
Main Authors Saruchi, Sarah 'Atifah, Ariff, Mohd Hatta Mohammed, Zamzuri, Hairi, Amer, Noor Hafizah, Wahid, Nurbaiti, Hassan, Nurhaffizah, Kassim, Khairil Anwar Abu
Format Journal Article
LanguageEnglish
Published MDPI AG 01.07.2020
Subjects
autonomous vehicle
Control
Feedback control systems
Fuzzy algorithms
Fuzzy logic
Fuzzy systems
fuzzy-PID
head roll angle
lateral acceleration
Motion sickness
motion sickness minimization
radial basis function neural network
Technology application
Malaysia
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Summary:In terms of vehicle dynamics, motion sickness (MS) occurs because of the large lateral acceleration produced by inappropriate wheel turning. In terms of passenger behavior, subjects experience MS because they normally tilt their heads towards the direction of lateral acceleration. Relating these viewpoints, the increment of MS originates from the large lateral acceleration produced by the inappropriate wheel’s turn, which then causes greater head movement with respect to the lateral acceleration direction. Therefore, this study proposes the utilization of fuzzy-proportional integral derivative (PID) controller for an MS minimization control structure, where the interaction of the lateral acceleration and head tilt concept is adopted to diminish the lateral acceleration. Here, the head movement is used as the controlled variable to compute the corrective wheel angle. The estimation of the head movement is carried out by an estimation model developed by the radial basis function neural network (RBFNN) method. An experiment involving a driving simulator was conducted, to verify the proposed control system’s performance in regard to the autonomous vehicle’s passengers. The results show that the averages of motion sickness incidence (MSI) index can be lowered by 3.95% for single lap and 11.49% for ten laps.
ISSN:2076-3417
2076-3417
DOI:10.3390/app10144769