Yaw stability control of single-trailer truck using steerable wheel at middle axle: hardware-in-the-loop simulation

Yussof, Muhamad Afiq Mohd; Amer, Noor Hafizah; Kadir, Zulkiffli Abd; Hudha, Khisbullah; Rahmat, Mohd Sabirin; Harun, Mohamad Haniff

doi:10.1007/s40435-022-00943-3

Cited by 2 publications

(1 citation statement)

References 26 publications

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“…Naskath et al [3] analyzed the connectivity of high-speed mobility and lane changing based on discretionary lane changing approach for V2V environment. Muhamad et al [4] proposed a yaw rejection control for a single-trailer truck using a steerable wheel located at the middle axle of the truck. Tolga et al [5] analyzed autonomous electric vehicles and compared their potential environmental impacts with other public transport types, carpooling, walking, cycling, and various transportation policy applications.…”

Section: Introductionmentioning

confidence: 99%

Minimum-time lane changing problem of vehicle handling inverse dynamics based on adaptive mesh refinement and collocation optimization method

Liu,

Cui,

Peng

2023

J. vibroeng.

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In order to solve the problems of multiple constraints, many different calculations of nonlinear equations which lead to major errors in the process of vehicle lane changing with minimum time, an adaptive mesh refinement and collocation optimization method is proposed. Firstly, the problem of vehicle lane changing with minimum time has been divided into nonlinear programming problems in different grids. The Lagrange interpolation polynomial was used to approximate the solution of the optimization problem in the grid, and the absolute and relative errors were resolved. Then, a mesh was determined for the unsmooth part according to the curvature of the trajectory, and the location and number of meshes were further determined according to the relationship between the maximum relative error and the allowable error. At the same time, the solution accuracy was improved by adding an adaptive calculation to the smooth interval which does not meet the tolerance error. Finally, the simulation example of comparison with the traditional optimization method was proposed. The results showed that the algorithm presented in the paper had a higher solution efficiency under the same calculation accuracy.

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Section: Introductionmentioning

confidence: 99%