含时变时滞系统的变预测界模型预测控制

Hiroki Arai, Y. Uchimura
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引用次数: 2

摘要

提出了一种基于模型预测控制(MPC)的时变时滞系统补偿方法。该方法利用预测模型来估计被控对象的未来状态。当系统包含时变延迟时,基于本地端预测器的模型被迫假定发送数据包的最大延迟。然而,大多数数据包将在最大延迟内到达。在本文中,我们提出利用早期到达的数据包来生成参考轨迹,用于远程端的模型预测控制。本文提出了一种模型预测控制中处理变视界的方法。通过数值模拟和人工操作实验,将该方法与传统方法进行了比较,评价了该方法的性能。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Model Predictive Control with Variable Prediction Horizon for a System including Time-varying Delay
This paper proposes a model-predictive control (MPC) based method to compensate systems with time-varying delay. The proposed method uses a prediction model to estimate the future state of a controlled object. In case the system includes time-varying delay, the model based predictor on the local side is compelled to assume maximum delay for sending packets. However most of the packets will arrive within the maximum delay. In this paper, we propose to utilize the early-arriving packets to generate a reference trajectory for model predictive control on the remote side. The proposal of this paper is a method to deal with varying horizon for model predictive control. The performance of the proposal was evaluated by comparing the proposed method with a conventional method by conducting numerical simulations and experiments with a human operator.
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