基于自适应次优二阶滑模观测器的车轮力估计

Enrico Regolin, Massimo Zambelli, A. Ferrara
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引用次数: 5

摘要

在这项工作中,提出了一个估计轮胎和道路之间施加的力(纵向和横向)的系统。从两种最常用的车辆动力学描述,单角和单轨道模型出发,开发了一个由级联结构的次优二阶滑模观测器加上自适应元件组成的系统,并验证了在可以忽略重量传递影响的条件下是有效的。这种方法的一个值得注意的特性是,它只利用了大多数普通汽车中存在的标准传感器。为了在保持低抖振的同时能够在大范围的条件下跟踪量,实际实现是使用切换/基于时间的自适应律来实现观测器的增益。在IPG Car-Maker中给出了仿真结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Wheel forces estimation via adaptive sub-optimal second order sliding mode observers
In this work a system for the estimation of the forces (both longitudinal and lateral) exerted between the tires and the road is presented. Starting from two of the most commonly used descriptions of the vehicle dynamics, the single-corner and the single-track models, a system composed of Sub-Optimal Second Order Sliding Mode observers in a cascade structure plus an adaptive element is developed and verified to be effective in conditions in which the effect of the weight transfer can be neglected. One notable property of this approach is that only standard sensors, which are present in most of the stock cars, are exploited. The practical implementation is done using a switched/time-based adaptation law for the gains of the observers, in order to be able to track the quantities in a wide range of conditions while keeping the chattering low. Simulation results are presented in IPG Car-Maker.
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