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Frequency Shaping-Based Control Framework for Reducing Motion Sickness in Autonomous Vehicles.

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Summary

This study developed a new control strategy to reduce motion sickness in electric autonomous vehicles (EAVs). The method significantly improves ride comfort by reducing motion sickness dose value (MSDV) during autonomous driving.

Keywords:
autonomous vehicleband-stop filtermotion sicknesspath-followingride comfort

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Area of Science:

  • Automotive Engineering
  • Control Systems
  • Human Factors

Background:

  • Motion sickness is a significant challenge for passenger comfort in autonomous vehicles.
  • Existing control strategies often do not adequately address motion sickness-inducing frequencies.
  • Electric Autonomous Vehicles (EAVs) present unique control challenges for ride comfort.

Purpose of the Study:

  • To introduce and evaluate a novel control strategy for reducing motion sickness in EAVs.
  • To enhance overall ride comfort and passenger experience in autonomous driving.
  • To maintain robust path-following performance while mitigating motion sickness.

Main Methods:

  • Adaptive adjustment of look-ahead distance for lateral control based on Motion Sickness Dose Value (MSDV) analysis (ISO 2631-1).
  • Application of Linear Quadratic Regulator (LQR) optimal control for longitudinal acceleration minimization.
  • Implementation of a band-stop filter to attenuate motion-sickness-inducing frequencies in acceleration signals.

Main Results:

  • Significant reduction in MSDV from 16.3 to 10.46, an improvement of up to 35.8%.
  • Effective mitigation of lateral acceleration and its motion-sickness-related frequency components.
  • Consistent lane adherence maintained throughout path-following tasks, despite a slight increase in lateral position error.

Conclusions:

  • The proposed control strategy effectively reduces motion sickness in EAVs.
  • The method offers a promising approach to enhance ride comfort without compromising essential driving performance.
  • This research contributes to the development of more passenger-friendly autonomous vehicles.