| 基于EMPC-ADMM的三段式汽车尾翼系统稳定性研究 |
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| 引用本文：朱宗磊,张瑞瑞,李庆梅,张飞,王四玲.基于EMPC-ADMM的三段式汽车尾翼系统稳定性研究[J].上海第二工业大学(中文版),2026,43(2):192-200 |
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| 基金项目:2023 年度浦东新区科技发展基金产学研专项(未来车领域) (PKX2023-W05) 资助 |
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| 中文摘要:针对传统固定式尾翼在车辆高速行驶时稳定性控制性能不足的问题, 本文提出一种基于显式模型预测控制与交替方向乘子法(explicit model predictive control and alternating direction method of multipliers, EMPC-ADMM) 的
三段式尾翼控制策略。首先, 建立融合尾翼下压力特性的线性二自由度整车模型, 采用EMPC 划分状态空间并预计算最优控制律, 结合自适应ADMM 算法加速二次规划求解。基于CarSim-Simulink 联合仿真平台, 在多种工况下验证控制效果。实验结果表明: 当路面附着系数为0.85、车速为150 km/h 时, 横摆角速度、侧向加速度和质心侧偏角峰值分别降低13%、15% 和18%; 在高速变道工况下, 横摆角速度与侧向加速度峰值进一步降低47% 和41%。该方法通过构建多目标预测控制框架, 实现了横摆稳定性与侧倾抑制的高效协同控制, 为汽车稳定性控制系统的实时应用提供了新思路。 |
| 中文关键词:显式模型预测控制 三段式可调尾翼 交替方向乘子法优化 操纵稳定性 |
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| Stability Study of Three-Section Tail Wing System Based on EMPC-ADMM |
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| Abstract:To address the issue of insufficient stability control performance of traditional fixed spoilers during high-speed vehicle operation, this paper proposes a three-section tail wing control strategy based on explicit model predictive control and alternating direction method of multipliers (EMPC-ADMM). A linear two-degree-of-freedom vehicle model incorporating the downforce characteristics of
the three-section tail wing is established. EMPC is used to partition the state space and pre-compute the optimal control law, combined with an adaptive ADMM algorithm to accelerate the solution of the quadratic programming problem. The control performance is validated under various operating conditions using the CarSim-Simulink co-simulation platform. Experimental results show that when
the road surface coefficient of friction is 0.85 and the vehicle speed is 150 km/h, the peak values of yaw rate, lateral acceleration, and slip angle are reduced by 13%, 15%, and 18%, respectively. Under high-speed lane-changing conditions, the peak values of yaw rate and lateral acceleration are further reduced by 47% and 41%. This method achieves efficient coordinated control of yaw stability and roll suppression by constructing a multi-objective predictive control framework, providing new insights for the real-time application of automotive stability control systems. |
| keywords:explicit model predictive control (EMPC) three-section tail wing alternating direction method of multipliers (ADMM) optimization maneuvering stability |
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