Design of Static Output Feedback Active Suspension Controllers with Quarter-Car Model for Motion Sickness Mitigation

This paper presents a method to design a static output feedback active suspension controller with a quarter-car model for motion sickness mitigation. To mitigate motion sickness in a vehicle, it has been known that the vertical acceleration and pitch rate of a sprung mass should be reduced over the frequency range from 0.8 to 8 Hz. For this purpose, a half-car model has been used with linear quadratic optimal control for controller design because it can describe the pitch motion of a sprung mass. However, a controller design procedure with the half-car model is relatively more complex than the quarter-car one. To cope with this problem, a quarter-car model is used for controller design in this paper. The half-car model consists of two quarter-car models. Based on this fact, a controller designed with a quarter-car model can be applied to the front and rear suspensions in the half-car one. To avoid the full-state feedback in a real vehicle, a static output feedback structure is selected. To find the gains of the controllers for the quarter-car models in the front and rear suspensions, linear quadratic optimal control and a simulation-based optimization method are applied. To validate the proposed method, the controllers designed with the quarter-car and half-car models are simulated on a vehicle simulation package. From the simulation results, it is shown that the static output feedback active suspension controller designed with the quarter-car model is quite effective for motion sickness mitigation.

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Publication Details

Journal
Actuators
Published
2025-11-06
DOI
https://doi.org/10.3390/act14110539
Primary Topic
Vibration Control and Rheological Fluids
Type
article
Field-Weighted Citation Impact
0.00

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Controls
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article

Design of Static Output Feedback Active Suspension Controllers with Quarter-Car Model for Motion Sickness Mitigation

Seongjin Yim
Actuators
Vibration Control and Rheological Fluids
article

Design of Static Output Feedback Active Suspension Controllers with Quarter-Car Model for Motion Sickness Mitigation

Seongjin Yim
article en

Abstract

This paper presents a method to design a static output feedback active suspension controller with a quarter-car model for motion sickness mitigation. To mitigate motion sickness in a vehicle, it has been known that the vertical acceleration and pitch rate of a sprung mass should be reduced over the frequency range from 0.8 to 8 Hz. For this purpose, a half-car model has been used with linear quadratic optimal control for controller design because it can describe the pitch motion of a sprung mass. However, a controller design procedure with the half-car model is relatively more complex than the quarter-car one. To cope with this problem, a quarter-car model is used for controller design in this paper. The half-car model consists of two quarter-car models. Based on this fact, a controller designed with a quarter-car model can be applied to the front and rear suspensions in the half-car one. To avoid the full-state feedback in a real vehicle, a static output feedback structure is selected. To find the gains of the controllers for the quarter-car models in the front and rear suspensions, linear quadratic optimal control and a simulation-based optimization method are applied. To validate the proposed method, the controllers designed with the quarter-car and half-car models are simulated on a vehicle simulation package. From the simulation results, it is shown that the static output feedback active suspension controller designed with the quarter-car model is quite effective for motion sickness mitigation.

ActuatorsVol. 14(11)
Seoul National University of Science and Technology (KR)
National Research Foundation, National Research Foundation of Korea
Openalex Percentile: Top 65%
Vibration Control and Rheological Fluids
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Design of Static Output Feedback Active Suspension Controllers with Quarter-Car Model for Motion Sickness Mitigation — Seongjin Yim · Actuators (2025) | TGRS Research Map | TGRS