Optimal reactive control of hybrid architectures: A case study on complex water transportation systems (ETFA'2014)

Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA) Pub Date : 2014-09-01 DOI:10.1109/ETFA.2014.7005109

L. Nguyen, L. Lefévre, D. Genon-Catalot, T. Pham, C. Raïevsky

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引用次数: 7

Abstract

Joining the European Arrowhead Project, which looks forward to a modern collaborative automation, we will present in this positioning paper the irrigation network control problems and corresponding multi-layer approach. The first layer is the hydraulic network, itself represented by a complex model obtained in coupling Shallow Water Equations for free surface flows and Lattice Boltzmann Method to get a tractable model for optimization and supervision purposes. The second layer is the heterogeneous communication network using hybrid architectures and 6LoWPAN, a unified protocol for wired and wireless sensor networks. The third layer is the optimal reactive control system, itself developed using methods from decentralized artificial intelligent systems (namely multi-agent systems). Detailed discussions of each layer with some analytical results will be described in this paper. We will outline the potential interest of the multi-layer approach, more precisely its efficiency and reliability for supervision, energy optimization and hydraulic control of complex water transportation systems.

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混合结构的最优无功控制:以复杂水运系统为例(ETFA'2014)

加入期待现代协同自动化的欧洲箭头项目，我们将在这篇定位论文中提出灌溉网络控制问题和相应的多层方法。第一层是水力网络，其本身由一个复杂的模型来表示，该模型是由自由表面流动的浅水方程和晶格玻尔兹曼方法耦合得到的，以获得一个易于处理的模型，用于优化和监督。第二层是使用混合架构和6LoWPAN(有线和无线传感器网络的统一协议)的异构通信网络。第三层是最优无功控制系统，它本身使用分散式人工智能系统(即多智能体系统)的方法开发。本文将详细讨论每一层并给出一些分析结果。我们将概述多层方法的潜在利益，更准确地说，它在复杂水运系统的监督、能源优化和水力控制方面的效率和可靠性。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Proceedings of the 2014 IEEE Emerging Technology and Factory Automation (ETFA)

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