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Journal of System Simulation

Abstract

Abstract: The structure of multi-articulated vehicle body limits the flexibility of the vehicle and causes the deviation of the rear vehicle. Taking the ideal articulation angle as the control target, a feedforward plus feedback path following control method is proposed, which realizes the precise path following of rear vehicle bodies by minimizing the deviation between the ideal articulation angle and the actual articulation angle. According to the geometric position relationship between the vehicle and the desired path, the traditional calculation method of the ideal articulation angle is improved from two perspectives of application range and error accumulation. Based on the ideal articulation angle of the vehicle and the applicable scope of the control method, a feedforward plus radial basis function (RBF) neural network PID feedback controller is designed, which do not depend on the specific model. The co-simulation platform TruckSim and MATLAB/Simulink is built to compare and analyze the path following performance of vehicles under different working conditions. The simulation results show that the proposed control method has good applicability and higher following accuracy in different working conditions, and effectively reduces the error accumulation of the rear vehicle.

First Page

2300

Last Page

2313

CLC

U469.5: TP39

Recommended Citation

Zhao Yu, Yang Caijin, Wang Tanming, et al. Path Following Control and Simulation Analysis of Multiarticulated Vehicles[J]. Journal of System Simulation, 2024, 36(10): 2300-2313.

Corresponding Author

Yang Caijin

DOI

10.16182/j.issn1004731x.joss.23-0621

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