The control arm is an important transmission and guidance device in the Macpherson suspension system, which has an important impact on the ride comfort, operation stability, and safety of the vehicle, so it is necessary to study the structural performance of the control arm. In this paper, based on neural network control model, finite element analysis, and fatigue analysis theory, the strength, stiffness, and dynamic and fatigue performance of the control arm are studied and analyzed. Taking the ground contact force of the tire as the input condition, the static analysis of the front suspension is carried out, and the boundary condition of the load of the control arm is extracted. The finite element strength of the control arm is calculated in the OptiStruct solver under the conditions of uneven road, braking, and turning. At the same time, the longitudinal stiffness and lateral stiffness of the control arm are analyzed. The simulation results show that the control arm has better strength and stiffness performance.

中文翻译：

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基于神经网络控制的汽车悬架控制臂有限元结构分析

控制臂是麦弗逊悬架系统中重要的传动和导向装置，对车辆的平顺性、操作稳定性和安全性有重要影响，因此有必要对控制臂的结构性能进行研究。本文基于神经网络控制模型、有限元分析和疲劳分析理论，对控制臂的强度、刚度、动态和疲劳性能进行了研究和分析。以轮胎接地力为输入条件，对前悬架进行静力分析，提取控制臂载荷边界条件。控制臂的有限元强度在 OptiStruct 求解器中计算在不平坦的道路、制动和转弯条件下。同时，分析了控制臂的纵向刚度和横向刚度。仿真结果表明控制臂具有较好的强度和刚度性能。