基于超扭曲滑动模式控制的八轮分布式驱动电动汽车直接偏航力矩控制

IF 2 Q2 ENGINEERING, MECHANICAL Frontiers in Mechanical Engineering Pub Date : 2024-01-10 DOI:10.3389/fmech.2023.1347852
Zili Liao, Lichun Cai, Jiaqi Li, Yunyin Zhang, Chunguang Liu
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引用次数: 0

摘要

本文提出了一种新颖的直接偏航力矩控制(DYC)系统,以提高车辆在各种驾驶条件下的稳定性和操控性能,并克服传统滑动模式控制的颤振问题。因此,本文利用超扭曲滑动模式(STSM)算法,为八轮 DDEV 开发了一种直接偏航力矩控制策略。首先,建立了车辆的三自由度模型、非线性轮胎模型和电机模型。随后,根据车辆的参考模型获得参考偏航率,作为控制目标。然后利用实际偏航率与参考偏航率之间的误差作为输入,建立 DYC 策略。此外,还开发了一种传统的滑动模式(SM)控制器,以增强车辆的稳定性。为了解决与传统滑动模式控制器相关的颤振问题,我们设计了一种二阶滑动模式控制器,其中包含一种 STSM 控制算法。该算法根据车辆的动态状态自适应地调整滑动面和控制增益。通过硬件在环仿真验证了所提控制策略的有效性。
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Direct yaw moment control of eight-wheeled distributed drive electric vehicles based on super-twisting sliding mode control
This paper proposed a novel direct yaw moment control (DYC) system to enhance vehicle stability and handling performance in various driving conditions and overcome the chattering problem of traditional sliding mode control. Accordingly, a DYC strategy is developed for eight-wheeled DDEVs by utilizing a super-twisting sliding mode (STSM) algorithm. Initially, a three-degrees-of-freedom model, nonlinear tire model, and motor model are established for vehicles. Subsequently, the reference yaw rate is obtained based on the reference model of the vehicle to serve as a control target. The DYC strategy is then established using the error between the actual yaw rate and the reference yaw rate as the input. Moreover, a traditional sliding mode (SM) controller is developed to enhance vehicle stability. A second-order SM controller is designed by incorporating a STSM control algorithm to address the chattering problem associated with traditional SM controllers. The algorithm adaptively adjusts the sliding surface and controls the gains based on the dynamic state of the vehicle. The effectiveness of the proposed control strategy is validated via hardware-in-the-loop simulations.
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来源期刊
Frontiers in Mechanical Engineering
Frontiers in Mechanical Engineering Engineering-Industrial and Manufacturing Engineering
CiteScore
4.40
自引率
0.00%
发文量
115
审稿时长
14 weeks
期刊最新文献
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