Gang Wang

Gang Wang

PhD student at Arizona State University

Posts by Collection

portfolio

publications

Performance analysis of a newly designed single air spring running gear for automated people mover (APM)

Published in Vehicle System Dynamics, 2021

Abstract: The APM 300 running gear structure follows the structural design of the automobile steering drive axle; therefore, the lateral stiffness of the suspension system is considerable, resulting in poor lateral ride comfort. To improve the lateral ride comfort of the vehicle, this paper proposed a new type of running gear called single air spring running gear (SARG), and according to the original loading conditions, the parameters of the SARG air spring are modified. By establishing a theoretical model of linear steady-state curve negotiation of the single-axle tyre running gear, the radial adjusting index is deduced to evaluate the radial performance of the SARG. By establishing the force analysis model of APM rolling in the static state, APM’s flexibility coefficient is obtained to evaluate the anti-overturning capacity. The influence of running gear parameters on the flexibility coefficient is discussed in detail. Based on this, the stiffness of the SARG anti-roll bar is determined. By comparing the dynamic performance of both types of vehicles, the SARG advantages are proved. Finally, several improvements on the SARG structure are proposed for its adaptation to more complex scenario.

Recommended citation: Gang Wang, Yuanjin Ji, Lihui Ren, Han Leng & Youpei Huang (2021) Performance analysis of a newly designed single air spring running gear for automated people mover (APM), Vehicle System Dynamics, 59:12, 1963-1986, DOI: 10.1080/00423114.2020.1798475. https://doi.org/10.1080/00423114.2020.1798475

Wheelset lateral force factor and critical offset distance of the centre pivot of articulated train

Published in Vehicle System Dynamics, 2021

Abstract: The longitudinal distance between the centre pivot and the centre of end bogie significantly affects the wheelset lateral force of the outer and inner wheelset. Whether the centre pivot of end bogie of articulated train needs to be offset, and how to set the offset distance, research is still lacking. Taking this as a starting point, this study utilised wheelset lateral force factor to discuss the influence of the centre pivot offset distance on the safety of the wheelset lateral force and derived the formula for calculating the critical offset distance of the centre pivot. Taking an articulated tram with three car bodies and four bogies as an example, a force analysis model for steady-state curve negotiation was established, and the relationship between the wheelset lateral force and the offset distance of the centre pivot was derived, which was verified by the dynamic model. When the maximum value of the wheelset lateral force factor of each bogie reached the minimum, the optimal centre pivot offset distance was obtained, which was called the critical offset distance. The influence of the offset states of the centre pivot on the curving performance of the tram was analysed by the dynamic model. The results showed that derailment coefficient, wheelset lateral force factor, and lateral displacement of end car bodies in the critical offset state were smaller than them in other offset states.

Recommended citation: Gang Wang, Yuanjin Ji, Lihui Ren, Han Leng & Youpei Huang (2021) Wheelset lateral force factor and critical offset distance of the centre pivot of articulated train, Vehicle System Dynamics, 59:12, 1940-1962, DOI: 10.1080/00423114.2020.1798474 https://doi.org/10.1080/00423114.2020.1798474

A Novel and Elliptical Lattice Design of Flocking Control for Multi-Agent Ground Vehicles

Published in IEEE Control Systems Letters, 2022

Abstract: Flocking control of multi-agent ground vehicles recently attracted rising attention because of its strength in extending 1D platooning to coordinated 2D movements. However, the uniform interaction ranges and the non-defined orientation of the flocking lattice make flocking control of ground vehicles face some key issues. To achieve cooperative motions of connected and automated vehicles (CAVs), this letter proposed a novel and elliptical lattice to extend the existing flocking theory with a uniform hexagon lattice. The proposed elliptical lattice is designed based on the characteristics of the vehicle heading direction, velocity, minimum safety distance, and lane width to analytically adapt to vehicle driving environments. Moreover, a new flocking control law considering road boundaries’ (permanent) repulsive forces is developed to ensure the desired formation at a steady state. Simulation results show that the proposed elliptical lattice of flocking control can be applied to realize cooperative driving of multi-agent CAVs with the desired formation on the road.

Recommended citation: G. Wang, M. Liu, F. Wang and Y. Chen, "A Novel and Elliptical Lattice Design of Flocking Control for Multi-Agent Ground Vehicles," in IEEE Control Systems Letters, vol. 7, pp. 1159-1164, 2023, doi: 10.1109/LCSYS.2022.3231628. https://doi.org/10.1109/LCSYS.2022.3231628

talks

teaching