分布式模型预测控制及其在灌渠中的应用

Sutrisno, Salmah, I. E. Wijayanti
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引用次数: 6

摘要

大多数文献采用博弈方法设计包含目标函数线性凸组合权值的分布式控制器,如可行合作MPC和纳什议价MPC。在本文中,我们提出了一种确定各子系统控制负荷成比例的权重值的方案。为了观察该加权方案的效果,我们将该加权方案分别应用于可行-合作MPC和纳什-议价MPC对灌渠进行控制。我们为每个子系统选择与体积成正比的权重值。我们将结果与所有子系统相同的权重进行比较。从数值模拟结果来看,我们的加权总代价得到了较好的结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Distributed model predictive control and application to irrigation canal
Most of the literatures use game approach to design distributed controller such as Feasible Cooperation MPC and Nash-bargaining MPC that contains the weighting for linear convex combination of objective functions. In this paper, we propose a scheme to determine the weighting values that proportional to the control load for each subsystem. To observe the effect of our weighting scheme, we apply the weighting scheme to control the irrigation canal using Feasible-Cooperation MPC and Nash-bargaining MPC. We choose the weighting values are proportional to the volume for each subsystem. We compare the result with weighting that are same for all subsystems. From the numerical simulation results, the total cost of our weighting give better result.
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