An Optimal Hierarchical Control Strategy for 4WS-4WD Vehicles Using Nonlinear Model Predictive Control

Advanced driving algorithms, control strategies, and their optimization in self-driving vehicles in various scenarios are hotspots in current research; 4WS-4WD (four-wheel steering and four-wheel drive) is another hotspot in the study of new concept models; and the nonlinear dynamic characteristics...

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Main Authors: Xuan Xu, Kang Wang, Qiongqiong Li, Jiafu Yang
Format: Article
Language:English
Published: MDPI AG 2024-01-01
Series:Machines
Subjects:
Online Access:https://www.mdpi.com/2075-1702/12/1/84
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author Xuan Xu
Kang Wang
Qiongqiong Li
Jiafu Yang
author_facet Xuan Xu
Kang Wang
Qiongqiong Li
Jiafu Yang
author_sort Xuan Xu
collection DOAJ
description Advanced driving algorithms, control strategies, and their optimization in self-driving vehicles in various scenarios are hotspots in current research; 4WS-4WD (four-wheel steering and four-wheel drive) is another hotspot in the study of new concept models; and the nonlinear dynamic characteristics of self-driving vehicles (AVs) are prominent in the fast cornering mode, which leads to a significant reduction in the accuracy and stability of trajectory tracking. Based on these research backgrounds, this paper proposes a control strategy optimization idea based on the 4WS4WD vehicle and its optimization model. The main content includes the establishment of a 3D vehicle model that takes into account vehicle load transfer and position change, and the establishment of a hierarchical control strategy based on the optimized NMPC and 4WS4WD models. The controller consists of two parts: an upper tracking controller based on the new vehicle model and NMPC, and a lower decoupled controller. The tracking control effect of the algorithmic control strategy based on the model and controller is validated in the high-speed serpentine motion mode and double-shift linear motion mode on the joint simulation platform of Car Sim and Simulink.
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spelling doaj.art-99c12a6bc43a423db7b0d5cb30fcc7142024-01-26T17:25:12ZengMDPI AGMachines2075-17022024-01-011218410.3390/machines12010084An Optimal Hierarchical Control Strategy for 4WS-4WD Vehicles Using Nonlinear Model Predictive ControlXuan Xu0Kang Wang1Qiongqiong Li2Jiafu Yang3College of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, ChinaCollege of Mechanical and Electronic Engineering, Nanjing Forestry University, Nanjing 210037, ChinaAdvanced driving algorithms, control strategies, and their optimization in self-driving vehicles in various scenarios are hotspots in current research; 4WS-4WD (four-wheel steering and four-wheel drive) is another hotspot in the study of new concept models; and the nonlinear dynamic characteristics of self-driving vehicles (AVs) are prominent in the fast cornering mode, which leads to a significant reduction in the accuracy and stability of trajectory tracking. Based on these research backgrounds, this paper proposes a control strategy optimization idea based on the 4WS4WD vehicle and its optimization model. The main content includes the establishment of a 3D vehicle model that takes into account vehicle load transfer and position change, and the establishment of a hierarchical control strategy based on the optimized NMPC and 4WS4WD models. The controller consists of two parts: an upper tracking controller based on the new vehicle model and NMPC, and a lower decoupled controller. The tracking control effect of the algorithmic control strategy based on the model and controller is validated in the high-speed serpentine motion mode and double-shift linear motion mode on the joint simulation platform of Car Sim and Simulink.https://www.mdpi.com/2075-1702/12/1/84autonomous driving4WS-4WDvehicle modeltrajectory trackingnonlinear model predictive controlvehicle dynamics and control
spellingShingle Xuan Xu
Kang Wang
Qiongqiong Li
Jiafu Yang
An Optimal Hierarchical Control Strategy for 4WS-4WD Vehicles Using Nonlinear Model Predictive Control
Machines
autonomous driving
4WS-4WD
vehicle model
trajectory tracking
nonlinear model predictive control
vehicle dynamics and control
title An Optimal Hierarchical Control Strategy for 4WS-4WD Vehicles Using Nonlinear Model Predictive Control
title_full An Optimal Hierarchical Control Strategy for 4WS-4WD Vehicles Using Nonlinear Model Predictive Control
title_fullStr An Optimal Hierarchical Control Strategy for 4WS-4WD Vehicles Using Nonlinear Model Predictive Control
title_full_unstemmed An Optimal Hierarchical Control Strategy for 4WS-4WD Vehicles Using Nonlinear Model Predictive Control
title_short An Optimal Hierarchical Control Strategy for 4WS-4WD Vehicles Using Nonlinear Model Predictive Control
title_sort optimal hierarchical control strategy for 4ws 4wd vehicles using nonlinear model predictive control
topic autonomous driving
4WS-4WD
vehicle model
trajectory tracking
nonlinear model predictive control
vehicle dynamics and control
url https://www.mdpi.com/2075-1702/12/1/84
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