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Centralized Model Predictive CACC Control Robust to Burst Communication Errors

机译:集中式模型预测CACC控制突发通信错误的强大

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A centralized controller computes controls and transmits them to automated vehicles. In case of a communication failure, control values will be missing and vehicles might take incorrect driving decisions. Although modern controllers may resist spurious communication errors, burst errors are expected to be more challenging. This paper introduces a centralized controller robust to burst errors. We propose a model predictive controller (MPC) computing intended future controls and sharing them with vehicles to be stored in a buffer. Through such buffer, vehicles may still retrieve control values even under burst errors. The proposed concept is evaluated in a mixed multi vehicle braking scenario and its superiority over other approaches in terms of distance and acceleration errors compared is shown.
机译:集中式控制器计算控制并将其传输到自动车辆。 在通信故障的情况下,丢失控制值,并且车辆可能采取不正确的驾驶决策。 虽然现代控制器可能抗拒杂散的通信错误,但预计突发误差会更具挑战性。 本文介绍了一个集中式控制器稳健到爆发错误。 我们提出了一种模型预测控制器(MPC)计算预期的未来控制,并与要存储在缓冲器中的车辆共享它们。 通过这种缓冲区,即使在突发错误下,车辆仍可能检索控制值。 所提出的概念在混合的多车辆制动场景中评估,并且示出了在比较的距离和加速度误差方面的其他方法的优越性。

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