基于PIDSM-AF的智能车辆横向控制研究
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U463.6;TP273

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江苏省重点研发计划(产业前瞻与关键核心技术)(BE2022053-2);江苏省重点研发计划(现代农业)(BE2021339);南京林业大学青年科技创新基金(CX2019018)


Lateral control of intelligent vehicles based on PIDSM-AF
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    摘要:

    路径跟踪精度是智能车辆安全自主行驶的基础.为解决滑模控制系统的抖振问题,提高路径跟踪控制器的控制精度,提出一种引入激活函数的PID积分滑模控制策略(PID Integral Sliding Mode control strategy with Activation Function,PIDSM-AF).首先,以二自由度车辆模型为基础,将车辆的动力学模型拆解为横向偏差模型,建立横向控制模型.然后,采用极值法,建立融合了航向角偏差和横向偏差的积分滑模面.考虑到一般指数趋近律难以消除的系统抖振问题,在改进指数趋近律的基础上引入可调节系统状态接近滑模面时速率的非线性激活函数,设计了一种基于激活函数滑模控制的横向路径跟踪控制器.最后,通过Carsim/Simulink联合仿真对改进的滑模控制器进行双移线路况测试.结果表明,与传统的终端滑模控制器相比,优化后的积分滑模控制器的跟踪精度在低速低附着工况、高速高附着工况下的最大横向偏差分别减少约64%、34.9%,平均横向偏差分别减少约68.4%、59.7%,且优化后的控制器有效地抑制了车辆航向角、前轮转角的抖振超调变化,具有较强的鲁棒性.

    Abstract:

    Path tracking precision is fundamental for safe and autonomous driving of intelligent vehicles.To address the problem of chattering in sliding mode control Systems and enhance the control precision of path tracking controllers,a novel PID Integral Sliding Mode Control strategy with Activation Function (PIDSM-AF) is proposed.Firstly,based on a two-degree-of-freedom vehicle model,the vehicle dynamics model is decomposed into a lateral deviation one to establish the lateral control model.Subsequently,an integral sliding mode surface incorporating both heading angle deviation and lateral deviation is constructed employing the extremum method.Considering the system chattering that is difficult to eliminate by general exponential approaching rate,a nonlinear activation function is introduced to adjust the rate when the system state is close to the sliding surface on the basis of an improved exponential approaching rate.This leads to the design of a lateral path tracking controller based on sliding mode control with an activation function.Finally,the improved sliding mode controller is subjected to double lane change tests through Carsim/Simulink co-simulation.The results show that,compared with traditional terminal sliding mode controller,the maximum lateral deviation of the optimized integrated sliding mode controller is reduced by about 64% and 34.9%,and the average lateral deviation is reduced by about 68.4% and 59.7%,under the conditions of low-speed low-adhesion and high-speed high-adhesion conditions,respectively.Furthermore,the optimized controller effectively suppresses the chattering and overshoot changes of vehicle heading angle and front wheel rotation angle,demonstrating strong robustness.

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张涌,张闯,赵奉奎,李冰林,吕立亚.基于PIDSM-AF的智能车辆横向控制研究[J].南京信息工程大学学报(自然科学版),2025,17(1):88-97
ZHANG Yong, ZHANG Chuang, ZHAO Fengkui, LI Binglin, LYU Liya. Lateral control of intelligent vehicles based on PIDSM-AF[J]. Journal of Nanjing University of Information Science & Technology, 2025,17(1):88-97

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历史
  • 收稿日期:2024-03-26
  • 在线发布日期: 2025-02-22

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