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车辆运行参数自适应软测量的防抱死控制研究

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建立了一种将Sage-Husa噪声估计器与无迹卡尔曼滤波器有机的结合的软测量算法,通过自适应软测量算法对车速等车辆运行参数进行有效的测量,结合采用轮速传感器得到的易测量轮速信号,实时计算车辆防抱死系统的实际的滑移率,通过与理想路面滑移率比较,从而实现各轮缸压力的有效控制,避免了车轮的抱死.通过CARSIM/Simulink联合仿真实验表明:建立的自适应软测量算法可以实现车速的准确测量,并且在对开路面上可以有效抑制了制动过程中的车轮抱死,从而保证了车辆的制动稳定性.
Research on Anti-Lock Braking Control Based on Vehicle Operation Parameters Adaptive Soft-Sensing Algorithm
A soft-sensing algorithm which combines Sage-Husa noise estimator and unscented kalman filter(ukf)is established.Vehicle operating parameters such as vehicle speed are effectively measured by adaptive soft sensing algorithm.Actual slip rate of vehicle anti-lock braking system is calculated in real time by combining with easily measured wheel speed signal obtained by wheel speed sensor,so as to realize effective control of wheel cylinder pressure and avoid wheel lock.Through CarSim/Simulink co-simulation experiment,it is shown that adaptive soft sensing algorithm can realize accurate measurement of vehicle speed,and can effectively inhibit wheel locking in the braking process on the split road,so as to ensure vehicle braking stability.

Sub-Optimal Sage-Husa Noise EstimatorUnscented Kalman FilterVehicle Anti-Lock Braking Sys-temSlip Rate

郝亮、郭立新

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辽宁工业大学汽车与交通工程学院,辽宁 锦州 121001

东北大学机械工程与自动化学院,辽宁 沈阳 110819

Sage-Husa噪声估计器 无迹卡尔曼滤波器 车辆防抱死系统 滑移率

辽宁省教育厅重大科技平台科技项目辽宁省教育厅科技项目

JP2016011JFL201915402

2024

机械设计与制造
辽宁省机械研究院

机械设计与制造

CSTPCD北大核心
影响因子:0.511
ISSN:1001-3997
年,卷(期):2024.402(8)