In recent years, the large-scale networked control systems have been widely used in electrical power distribution networks, water transportation networks, industrial factories and energy collection networks (such as wind farms) and now is one of the newly-emerged research directions in control area. The large-scale networked control systems are characterised by the large size of the plant, complicated structure, distributed location and the sharing of the network. Moreover, the insertion of the network has brought new challenges to the large-scale networked control systems. Conventional control theories are no longer applicable to the large-scale systems under the communication network environment. The goal of this project is to develop new theories and approaches on controller design and system analysis for the large-scale networked control systems in connection with their characteristics, and investigate the advanced control strategies. Based on the predictive scheme, a thorough research on the large-scale networked control systems wil be carried out and the systemic and comprehensive theoretical results will be obtained by utilizing decentralized control, switched system, complex system and optimal control theories. This will definitely provide theoretical support for the related project in practice. Some previous developments have been achieved, and it is expected to derive the complete and novel theories and approaches for the decentralized control of the large-scale networked control systems based on the predictive scheme.
近年来大型网络化控制系统在电力系统控制、水路交通网络、大型工业控制系统、能量收集网络(如风力发电厂)、智能电网和无线传感器反应网络等领域得到了广泛应用, 成为控制领域一个新兴的研究方向. 这类系统的特点是规模庞大, 结构复杂, 地理位置分散, 且通讯网络的介入使得大型网络化控制系统的理论面临严重的挑战, 传统控制理论研究成果对网络环境下的大系统不再适用. 本项目旨在针对大型网络化控制系统的特点给出控制设计与系统分析的新思想和新方法, 研究开发适合于网络环境的大系统的先进控制策略, 基于预测方法, 利用分散控制理论、切换系统、复杂系统、最优控制等理论对大型网络控制系统进行深入研究, 获得系统、全面的理论体系, 为相关工程项目的顺利开展提供理论上的支持. 本项目前期研究已经取得重要进展, 其最终结果有望建立一套关于大型网络控制系统的预测分散控制研究的较为完整的理论体系.
本项目考虑网络通讯中的通讯传输延迟、数据丢包等现象,针对大系统开展了数学建模、稳定性分析、控制器设计以及综合问题的研究。首先提出了新颖的预测控制策略,结合网络控制系统本身的特点,对网络化控制系统的工作机理和特性进行了深入分析和研究。在此基础上,对网络控制大系统进行了稳定性分析、状态反馈控制和输出反馈控制等方面的研究。最后将部分理论成果应用到电力系统控制的数值仿真当中。
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数据更新时间:2023-05-31
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