Road Bank Angle Estimation for Three Wheel Tilting Vehicle Using Multi Model Estimator

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...

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Main Authors: Jeong Kicheol, Choi Seibum
Format: Article
Language:English
Published: EDP Sciences 2018-01-01
Series:MATEC Web of Conferences
Online Access:https://doi.org/10.1051/matecconf/201816602008
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spelling doaj-e26f55f6330d4be490d5335131ebd71e2021-02-02T06:19:21ZengEDP SciencesMATEC Web of Conferences2261-236X2018-01-011660200810.1051/matecconf/201816602008matecconf_icmaa2018_02008Road Bank Angle Estimation for Three Wheel Tilting Vehicle Using Multi Model EstimatorJeong KicheolChoi SeibumIn 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.https://doi.org/10.1051/matecconf/201816602008
collection DOAJ
language English
format Article
sources DOAJ
author Jeong Kicheol
Choi Seibum
spellingShingle Jeong Kicheol
Choi Seibum
Road Bank Angle Estimation for Three Wheel Tilting Vehicle Using Multi Model Estimator
MATEC Web of Conferences
author_facet Jeong Kicheol
Choi Seibum
author_sort Jeong Kicheol
title Road Bank Angle Estimation for Three Wheel Tilting Vehicle Using Multi Model Estimator
title_short Road Bank Angle Estimation for Three Wheel Tilting Vehicle Using Multi Model Estimator
title_full Road Bank Angle Estimation for Three Wheel Tilting Vehicle Using Multi Model Estimator
title_fullStr Road Bank Angle Estimation for Three Wheel Tilting Vehicle Using Multi Model Estimator
title_full_unstemmed Road Bank Angle Estimation for Three Wheel Tilting Vehicle Using Multi Model Estimator
title_sort road bank angle estimation for three wheel tilting vehicle using multi model estimator
publisher EDP Sciences
series MATEC Web of Conferences
issn 2261-236X
publishDate 2018-01-01
description 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.
url https://doi.org/10.1051/matecconf/201816602008
work_keys_str_mv AT jeongkicheol roadbankangleestimationforthreewheeltiltingvehicleusingmultimodelestimator
AT choiseibum roadbankangleestimationforthreewheeltiltingvehicleusingmultimodelestimator
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