Abstract

In recent years, the need for micro-mobility, especially three-wheel vehicles, is increasing to address pollution and traffic congestion problems. With regard to the development of tilting vehicles, the precise tilt angle is important information in the tilting mechanism. Since the road environment affects the vehicle tilt angle, the road bank and hill angle have to be estimated to optimize the tilt control system. Furthermore, a new tilt mechanism is required due to the energy consumption of the previous active tilting mechanism. This paper introduces the road state observer. In this paper, the observer that combines a kinematic model with a dynamic model of a three wheel vehicle is proposed. The dynamic model has four states, including lateral velocity, yaw rate, tilt angle, and tilt angle ratio. Similarly, kinematic model has two states, including roll and pitch angles. It is assumed that the data set received from the six-dimensional inertial measurement unit including the vehicle acceleration and angular velocity of all axes is available. To verify the proposed algorithm, simulation verification using Carsim ADAMS and Matlab&Simulink is performed and a discussion of the result is provided. In addition, this paper proposes a semi-active tilt system.

Highlights

  • IntroductionConventional transportation systems cause many problems. From an ecological point of view, interest in air pollution and depletion of fossil fuel problems has increased

  • Lateral dynamics are not neglected, and more accurate estimation results can be obtained from extreme maneuver

  • Unlike previous studies, nonlinear estimators is proposed for accuracy with large tilt angle maneuver

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Summary

Introduction

Conventional transportation systems cause many problems. From an ecological point of view, interest in air pollution and depletion of fossil fuel problems has increased. In modern cities, traffic volume and parking lot shortages are becoming more serious In this situation, narrow and short micro-mobility, especially three wheel vehicle, is interested in solving this phenomenon [1, 2]. Because of the body shape of this vehicle, it has a high center of gravity This physical property makes this vehicle vulnerable to rollover. Kidane directly calculated road bank angles using vehicle dynamic models [6]. This method has a limitation that the logic is unstable when the vehicle has a small tilt angle. The vehicle roll and pitch angle are obtained with a kinematic model-based linear observer.

Vehicle dynamic model using gravity transformation
Dynamic model based pseudo measurement generation
Kinematic model based pseudo measurement generation
Linear roll and pitch angle estimator
Road bank angle calculation
Conclusions

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