Development of rational tyre models for vehicle dynamics control design and combined vehicle state/parameter estimation

被引:3
|
作者
Baslamisli, S. Caglar [1 ]
机构
[1] Hacettepe Univ, Dept Mech Engn, TR-06800 Ankara, Turkey
关键词
rational tyre model; vehicle dynamics control; state/parameter estimation; magic formula tyre model; nonlinear observer; vehicle design; EXTENDED KALMAN FILTER; OBSERVER; STATE;
D O I
10.1504/IJVD.2014.060766
中图分类号
TH [机械、仪表工业];
学科分类号
0802 ;
摘要
In this paper, control oriented rational tyre models are developed and incorporated in the design of vehicle dynamics estimators and controllers. Previously proposed rational models are used to derive a generic rational tyre model whose parameters are obtained through the optimisation of an increased number of regression terms. The proposed model results in vehicle dynamic responses that closely follow those obtained with a Magic Formula tyre model for a range of driving scenarios, especially on low mu roads. The usage of rational tyre models in the design of again-scheduled active front steering controller working in coordination with a nonlinear observer is demonstrated in the second part of the paper where the vehicle model is expressed as a linear parameter varying system. This final step demonstrates the strength of the rational tyre models' selected structure allowing the estimation of vehicle states through the estimation of the road adhesion coefficient which is obtained by simple algebraic computations.
引用
收藏
页码:144 / 175
页数:32
相关论文
共 50 条
  • [11] Vehicle State and Bias Estimation Based on Unscented Kalman Filter with Vehicle Hybrid Kinematics and Dynamics Models
    Shouren Zhong
    Yang Zhao
    Linhe Ge
    Zitong Shan
    Fangwu Ma
    Automotive Innovation, 2023, 6 : 571 - 585
  • [12] Vehicle State and Bias Estimation Based on Unscented Kalman Filter with Vehicle Hybrid Kinematics and Dynamics Models
    Zhong, Shouren
    Zhao, Yang
    Ge, Linhe
    Shan, Zitong
    Ma, Fangwu
    AUTOMOTIVE INNOVATION, 2023, 6 (04) : 571 - 585
  • [13] State Estimation and Dissipative-Based Control Design for Vehicle Lateral Dynamics With Probabilistic Faults
    Sakthivel, Rathinasamy
    Mohanapriya, Saminathan
    Ahn, Choon Ki
    Selvaraj, Palanisamy
    IEEE TRANSACTIONS ON INDUSTRIAL ELECTRONICS, 2018, 65 (09) : 7193 - 7201
  • [14] The Simultaneous Estimation Method of Terrain Parameter and Vehicle Dynamics Variables for Agricultural Vehicle
    Suzuki, Makoto
    Fujimoto, Hiroshi
    Hori, Yoichi
    2019 IEEE INTERNATIONAL CONFERENCE ON MECHATRONICS (ICM), 2019, : 596 - 601
  • [15] Lateral Vehicle Dynamics Control Based On Tyre Utilization Coefficients and Tyre Force Measurements
    Madhusudhanan, Anil Kunnappillil
    Como, Matteo
    Holweg, Edward
    2013 IEEE 52ND ANNUAL CONFERENCE ON DECISION AND CONTROL (CDC), 2013, : 2816 - 2821
  • [16] Estimation and prediction of vehicle dynamics states based on fusion of OpenStreetMap and vehicle dynamics models
    Jiang, Kun
    Victorino, Alessandro
    Charara, Ali
    2016 IEEE INTELLIGENT VEHICLES SYMPOSIUM (IV), 2016, : 208 - 213
  • [17] Bayesian Approach for Parameter Estimation in Vehicle Lateral Dynamics
    Lionti, Fabien
    Gutowski, Nicolas
    Aubin, Sebastien
    Martinet, Philippe
    FOUNDATIONS OF INTELLIGENT SYSTEMS, ISMIS 2024, 2024, 14670 : 249 - 259
  • [18] Real-time vehicle dynamics parameter estimation
    Shin, Kwang-Keun
    Proceedings of the ASME Dynamic Systems and Control Division 2005, Pts A and B, 2005, : 313 - 318
  • [20] Vehicle Dynamics Control Using Model Predictive Control Allocation Combined with an Adaptive Parameter Estimator
    Chatrath K.
    Zheng Y.
    Shyrokau B.
    1600, SAE International (03):