理论(学习稳定性)
控制器(灌溉)
计算机科学
模块化设计
控制理论(社会学)
路径(计算)
车辆动力学
控制工程
拖拉机
模型预测控制
运动学
可扩展性
磁道(磁盘驱动器)
控制(管理)
跟踪(教育)
控制系统
汽车操纵
铰接式车辆
跟踪误差
工程类
软件部署
电子稳定控制
主动转向
弹道
最优控制
拖车
车辆跟踪系统
跟踪系统
作者
Yue Wang,Gaoliang Peng,Jinghan Wang,Kang Jin,Guoxiao Li
标识
DOI:10.1177/01423312261453497
摘要
The increasing complexity of transportation demands has driven the need for reconfigurable and extendable multi-unit vehicle combinations. This study proposes a reconfigurable and generalizable control methodology based on active steering, enabling rapid deployment of control systems for various multi-unit vehicle combinations to achieve precise path tracking and stability control. The approach is underpinned by a modular and scalable kinematic model, coupled with an innovative control strategy that enables the trailers to precisely track the tractor while maintaining stability. A dual-layer model predictive control (MPC) framework is developed to effectively decouple the control of the tractor and trailers, regulating their respective steering angles. The effectiveness of the proposed method is validated through comprehensive simulations on typical two-unit and three-unit vehicle configurations. The MPC controller achieves precise tractor path tracking with a maximum lateral error below 0.15 m. Furthermore, the trailer stability controller successfully constrains the articulation angle deviation, reducing the sweep path width and ensuring vehicle stability. Comprehensive simulation studies confirm the method’s reconfigurability, generalizability, and control accuracy across diverse multi-unit vehicle configurations, achieving both path tracking precision and stability assurance.
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