Identification of low order vehicle handling models from multibody vehicle dynamics models

Saglam, Ferhat; Ünlüsoy, Y. Samim

doi:10.1109/icmech.2011.5971261

Cited by 5 publications

(1 citation statement)

References 19 publications

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“…e nonlinear characteristics of all the components have to be determined by the field test with advanced sensors and are very costly. erefore, identification of these nonlinear characteristics would be a logical choice [12]. Nie and Zong, Kim et al, and Guang et al mentioned that it is not necessary to model all the nonlinear components rather than generally characterize their overall nonlinear property related to the vehicle's dynamics [13][14][15][16].…”

Section: Introductionmentioning

confidence: 99%

Parameter Identification of Tractor‐Semitrailer Model under Steering and Braking

Shi

Qiu

2019

Mathematical Problems in Engineering

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This paper describes a valuable linear yaw-roll tractor-semitrailer (TST) model with five-degree-of-freedom (DOFs) for control algorithm development when steering and braking. The key parameters, roll stiffness, axle cornering stiffness, and fifth-wheel stiffness, are identified by the genetic algorithm (GA) and multistage genetic algorithm (MGA) based on TruckSim outputs to increase the accuracy of the model. Thus, the key parameters of the simplified model can be modified according to the real-time vehicle states by online lookup table and interpolation. The TruckSim vehicle model is built referring to the real tractor (JAC-HFC4251P1K7E33ZTF6×2) and semitrailer (Luyue LHX9406) used in the field test later. The validation of the linear yaw-roll model of a tractor-semitrailer using field test data is presented in this paper. The field test in the performance testing ground is detailed, and the test data of roll angle, roll rate, and yaw rate are compared with the outputs of the model with maps of the key parameters. The results indicate that the error of the tractor’s roll angle and semitrailer’s roll angle between model data and test data is 1.13% and 1.24%, respectively. The roll rate and yaw rate of the tractor and semitrailer are also in good agreement.

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