控制理论(社会学)
执行机构
模型预测控制
非线性系统
制动器
瞬态(计算机编程)
计算机科学
非线性模型
打滑(空气动力学)
控制工程
工程类
汽车工程
控制(管理)
物理
航空航天工程
人工智能
操作系统
量子力学
作者
Giorgio Riva,Simone Formentin,Matteo Corno,Sergio M. Savaresi
标识
DOI:10.1109/lcsys.2022.3158228
摘要
In this letter, a Force-based Model Predictive Control (F-MPC) scheme for braking systems is proposed. The use of longitudinal force information for slip tracking shows two main advantages: 1) the closed-loop system becomes robust to different grip conditions without the need of a friction model, 2) the optimization problem can be formulated as a quadratic program, suitable for real-time implementation. The approach is tested on a full-fledged vehicle simulator coupled with a nonlinear actuator calibrated on a real electro-hydraulic brake. A comparison with state-of-the-art solutions highlights better transient and tracking performance under both nominal and uncertain friction conditions.
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