设计拖曳臂车辆的主动姿态控制器:改善路径跟随和操纵稳定性

IF 4.6 Q2 MATERIALS SCIENCE, BIOMATERIALS
Zhengyu Pan, Boyuan Li, Shiyu Zhou, Shaoxun Liu, Shouyuan Chen, Rongrong Wang
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引用次数: 0

摘要

为了解决拖曳臂车辆(TAVs)在行驶过程中应采用何种姿态的问题,本研究引入了一种创新的主动姿态控制器(APC),以改善路径跟随和操控稳定性能。利用考虑了弯道载荷变化和车轮外倾角的非线性轮胎模型以及 TAV 的运动学和双轨模型,研究了车身姿态对操控性能的影响。为了充分利用四轮独立驱动和 TAV 机构的姿态可调特性,设计了一种结合 APC 和轮胎力分布的集成非线性模型预测控制(NMPC)。通过使用 Simulink-Multibody (2023a) 进行仿真,证明了所提出的控制器的有效性,尤其是与未考虑 TAV 独特姿态调整机制的方案相比。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Design of Active Posture Controller for Trailing-Arm Vehicle: Improving Path-Following and Handling Stability
To address the question of which posture trailing-arm vehicles (TAVs) should be adopted while driving, this study introduces an innovative active posture controller (APC) to improve both path-following and handling stability performance. Leveraging a nonlinear tire model that considers corner load variation and wheel camber, alongside the kinematics and double-track model of TAVs, the impact of vehicle body posture on handling performance has been investigated. To fully utilize the four-wheel independent drive and posture adjustable characteristics of the TAV mechanisms, an integrated nonlinear model predictive control (NMPC) combining APC and tire forces distribution is devised. Through simulations conducted using Simulink-Multibody (2023a), the effectiveness of the proposed controller is demonstrated, particularly when compared to the scheme that does not account for the unique posture adjustment mechanisms of TAVs.
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来源期刊
ACS Applied Bio Materials
ACS Applied Bio Materials Chemistry-Chemistry (all)
CiteScore
9.40
自引率
2.10%
发文量
464
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