主动悬架
悬挂(拓扑)
模型预测控制
控制器(灌溉)
计算机科学
控制理论(社会学)
估计员
控制(管理)
汽车模型
汽车工程
工程类
人工智能
数学
执行机构
同伦
纯数学
统计
生物
农学
作者
Siyang Song,Junmin Wang
出处
期刊:Journal of Dynamic Systems Measurement and Control-transactions of The Asme
[ASME International]
日期:2020-12-01
卷期号:142 (12)
被引量:5
摘要
Abstract In preview-based vehicle suspension applications, the preview of the road profile is highly dependent on the preview sensors. In some scenarios such as heavy traffic situations, the preview of road profile can only be estimated by other vehicles because the view of the preview sensors may be blocked by other vehicles. The estimated preview road information can contain errors, which thus requires the controller to have a good robust performance. In this paper, an incremental model predictive control (MPC) strategy for active suspension systems along with a road profile estimator using preview information from a lead vehicle is proposed. The efficacy of the proposed strategy is experimentally validated on two scaled-down active suspension stations with comparison to two conventional active suspension control approaches.
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