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Tire-Ground Forces Estimation in a 4-Wheel Vehicle Using a Delayed Interconnected Cascade-Observer Structure

机译:使用延迟互连的级联-观察者结构的四轮车辆轮胎接地力估计

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The knowledge of tire-ground interaction forces is interesting for intelligent vehicles. However, tire forces transducers are expensive and not suitable for ordinary passengers cars. An alternative is to estimate these forces using common sensors. This paper presents an estimator structure capable of reconstructing tire-ground interaction forces in all directions. A delayed interconnected cascade-observer structure is proposed to eliminate mutual dependence between estimators. Observers are developed based on nonlinear vehicle dynamic models with the Extended Kalman Filter algorithm. The estimator is validated with experimental results. The results are also compared with an existent estimator of the literature.
机译:轮胎-地面相互作用力的知识对于智能车辆很有趣。但是,轮胎力传感器价格昂贵,不适用于普通乘用车。一种替代方法是使用普通传感器估算这些力。本文提出了一种估计器结构,该结构能够在所有方向上重建轮胎-地面相互作用力。提出了一种延迟互连的级联观测器结构,以消除估计量之间的相互依赖性。基于具有扩展卡尔曼滤波算法的非线性车辆动力学模型,开发了观测器。估计量已通过实验结果验证。还将结果与现有文献的估计量进行比较。

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