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基于RBF神经网络的油气悬架平顺性研究

Ride Comfort of Hydro-pneumatic Suspension Based on RBF Neural Network
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摘要 目的 提高整车的行驶性能,使车辆可以自主调节,以适应各种不同的路面,从而达到良好的缓冲效果。方法 以双气室油气弹簧为研究对象,对其组成和工作原理进行详细分析,推导出油气弹簧的阻尼力和刚度等非线性特性与车身位移的关系。根据RBF神经网络控制原理,设计RBF-PID控制器,依靠神经网络自学习性对PID参数动态整定,使整个车身振动衰减,快速达到稳定状态,并基于Matlab/Simulink平台建立仿真模型,在B级和C级不平路面输入的情况下,重点对轮胎动载荷、车身质心加速度以及油气悬挂动挠度等3项性能进行仿真和分析。结果 同普通PID控制相比,RBF-PID控制下,车身3项性能的RMS分别降低26%、54%、0.1%。结论 RBF-PID控制能够克服环境影响,实现油气弹簧特性的可靠控制,提高了车辆行驶的平顺性以及稳定性。 The work aims to improve the driving performance of the whole vehicle so that the vehicle can autonomic conditioning to adapt to a variety of different road surfaces to achieve a good buffer effect.The composition and working principle and relationship between the damping force and stiffness of hydro-pneumatic spring and the displacement of vehicle body was deduced in detail.According to the principle of RBF neural network control,a RBF-PID controller was designed,and the PID parameters were dynamically adjusted by the self-learning habit of neural network,so that the vibration of the whole body attenuated and reached a stable state quickly.A simulation model was established based on Matlab/Simulink platform.With the input of Class B and Class C uneven road surface,the three performances of tire dynamic load,body centroids acceleration and dynamic deflection of oil-gas suspension were simulated and analyzed.Compared with the ordinary PID control,the RMSE of three performance of the body under RBF-PID control was reduced by 26%,54% and 0.3% respectively.RBF-PID control can overcome the impact of the environment,realize the reliable control of the characteristics of the oil-gas spring,and improve the ride comfort and stability of the vehicle.
作者 段捷 陈禧龙 杨宏杰 赵河明 赵韬硕 丁明军 孔德景 于静 DUAN Jie;CHEN Xilong;YANG Hongjie;ZHAO Heming;ZHAO Taoshuo;DING Mingjun;KONG Dejing;YU Jing(College of Mechatronic Engineering,North University of China,Taiyuan 030051,China;China North Vehicle Research Institute,Beijing 100072,China;Huaihai Industries Group Co.,Ltd.,Shanxi Changzhi 046012,China;Shipbuilding Infor-mation Centre of China,Beijing 100101,China)
出处 《装备环境工程》 CAS 2024年第3期113-120,共8页 Equipment Environmental Engineering
基金 国防科工局技术基础项目(JSZL2020208B002)。
关键词 油气弹簧 自主调节 动态整定 RBF-PID控制器 快速稳定 可靠控制 hydro-pneumatic spring autonomic conditioning dynamically adjusted RBF-PID controller reach stable state quickly reliable control
作者简介 通信作者:段捷。
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