悬挂(拓扑)
重型的
汽车工程
控制理论(社会学)
计算机科学
理论(学习稳定性)
模型预测控制
控制(管理)
工程类
数学
人工智能
同伦
机器学习
纯数学
作者
Ludian Pang,Ming Yue,Gengxin Qi,Xudong Zhao
标识
DOI:10.1088/1361-6501/adafce
摘要
Abstract This paper proposes a switched control strategy for heavy-duty vehicles, aiming to improve ride comfort and roll safety in unstructured road conditions. The realization of the comprehensive control target depends on the active suspension system: on the one hand, it can suppress the vibration caused by road excitation; on the other hand, it can dynamically adjust the output vertical force of the actuator to achieve the purpose of anti-roll. Focusing on the important influence of complex road conditions with road curvature and inclination on stability of heavy-duty vehicles, a vertical-lateral coupling nine-degree-of-freedom model is established. Then, a preview-based Model Predictive Control switching controller is designed to make full use of road information, which allows the controller to be solved in advance, thereby improving the real-time performance. In addition, variable weight coefficients are used to realize the switched control of ride comfort and roll safety based on the preview road information. Finally, the simulation results givened by Matlab/Simulink show that over the one without control, the proposed controller improves the ride comfort by about 53.2% and the roll safety by about 45.2%.
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