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Real-Time Capable Nonlinear Model Predictive Wheel Slip Control for Combined Driving and Cornering

机译:用于组合驾驶和转弯的实时的非线性模型预测轮防滑控制

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摘要

This paper presents a traction controller for combined driving and cornering conditions, based on explicit nonlinear model predictive control. The prediction model includes a nonlinear tire force model using a simplified version of the Pacejka Magic Formula, incorporating the effect of combined longitudinal and lateral slips. Simulations of a front-wheel-drive electric vehicle with multiple motors highlight the benefits of the proposed formulation with respect to a controller with a tire model for pure longitudinal slip. Objective performance indicators provide a performance assessment in traction control scenarios.
机译:本文基于显式非线性模型预测控制,提出了一种用于组合驱动和转弯条件的牵引力控制器。 预测模型包括使用Pacejka Magic公式的简化版本的非线性轮胎力模型,包括组合纵向和横向滑动的效果。 具有多个电动机的前轮驱动电动车辆的模拟突出了所提出的配方对具有轮胎模型的控制器的益处,用于纯纵向滑动。 客观性能指标在牵引控制方案中提供了绩效评估。

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