Model based wheel slip control via constrained optimal algorithm

Dae-Keun Yoon, Liuping Wang
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引用次数: 29

Abstract

The main focus of this paper is on the design and implementation of an antilock brake control system (ABS) for brake-by-wire (BBW) system using a generic model predictive control (MPC) scheme. The advent of BBW system offers a more accurate and continuous braking control, hence poses the possibility of introducing an advanced control algorithm for ABS system. The proposed algorithm aims to utilize this technology and the behavior of the model to optimize the wheel slip dynamics subject to system constraints. The final implementation of the controller embraces the decentralized control architecture of BBW system to independently control the brake torque at each four wheels. The performance of a wheel slip controller is validated through hardware-in-the-loop simulation (HiL), which consists of physical BBW brake calipers and the real-time nonlinear vehicle dynamic simulation model to accommodate the realistic brake-by-wire system.
基于模型的约束优化轮滑控制
本文主要研究了一种基于通用模型预测控制(MPC)的线控制动系统防抱死控制系统(ABS)的设计与实现。BBW系统的出现提供了更精确和连续的制动控制,因此为ABS系统引入先进的控制算法提供了可能。该算法旨在利用该技术和模型的行为来优化受系统约束的车轮滑移动力学。控制器的最终实现采用BBW系统的分散控制架构,独立控制每四个车轮的制动力矩。通过硬件在环仿真(HiL)验证了轮滑控制器的性能,该仿真由物理BBW制动卡钳和实时非线性车辆动态仿真模型组成,以适应实际的线控制动系统。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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