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Safety-extended Explicit MPC for Autonomous Truck Platooning on Varying Road Conditions

机译:适用于不同道路状况的自主卡车排放的安全扩展明确MPC

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Automotive platooning can significantly improve traffic safety and efficiency, but many control challenges need to be solved to function properly under realistic driving conditions. This paper proposes a novel multi-rate explicit model-predictive controller (eMPC) for safe autonomous distributed vehicle platooning in varying road friction conditions. A safety-augmented distributed predictive control formulation ensures safe vehicle spacing versus emergency braking of preceding vehicles given current friction estimates. This complex control problem is carefully formulated into an efficiently parametrized optimization problem realized as eMPC. The resulting platoon shows excellent performance in a complex vehicle dynamics co-simulation validation with low communication and computation demands.
机译:汽车排列可以显着提高交通安全和效率,但需要解决许多控制挑战,以便在现实的驾驶条件下正常运作。本文提出了一种新型多速率显式模型 - 预测控制器(EMPC),用于在不同的道路摩擦条件下安全自主分布式车辆排。一种安全增强的分布式预测控制配方确保了在给定电流摩擦估计的前车辆的安全车辆间距。将该复杂的控制问题仔细配制成有效参数化优化问题,实现为EMPC。所产生的排在具有低通信和计算需求的复杂车辆动力学共模仿真中显示出优异的性能。

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