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Network delay predictive compensation based on time-delay modelling as disturbance

机译:基于时延建模的网络时延预测补偿

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摘要

In this paper, a control design methodology that can assure the closed-loop performances of a physical plant, while compensating the network-induced time-varying delays, is proposed. First, the error caused by the time-varying delays is modelled as a disturbance and a novel method of bounding the disturbance is proposed. Second, a robust one step ahead predictive controller based on flexible control Lyapunov functions is designed, which explicitly takes into account the bounds of the disturbances and guarantees also the input-to-state stability of the system in a non-conservative way. The methodology was tested on a vehicle drivetrain controlled through controller area network, with the aim of damping driveline oscillations. The comparison with a proportional-integral-derivative (PID) controller using TrueTime simulator shows that the proposed control scheme can outperform classical controllers and it can handle the performance/physical constraints. Moreover, the handling of the strict limitations on the computational complexity was tested using a real-time test-bench.
机译:在本文中,提出了一种控制设计方法,该方法可以确保物理工厂的闭环性能,同时补偿网络引起的时变延迟。首先,将时变时延引起的误差建模为扰动,并提出了一种新的界定扰动的方法。其次,设计了一种基于柔性控制李雅普诺夫函数的稳健的提前一步预测控制器,该控制器明确考虑了扰动范围,并以非保守的方式保证了系统的输入到状态稳定性。该方法已在通过控制器局域网控制的车辆传动系统上进行了测试,目的是抑制传动系统的振动。与使用TrueTime模拟器的比例积分微分(PID)控制器进行的比较表明,所提出的控制方案可以胜过传统控制器,并且可以处理性能/物理约束。此外,使用实时测试平台测试了对计算复杂性的严格限制。

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