基于多智能体模型的电力多机组分布式预测控制

Q2 Computer Science 自动化学报 Pub Date : 2014-11-01 DOI:10.1016/S1874-1029(14)60409-2
Zhong-Qi LI , Hui YANG , Kun-Peng ZHANG , Ya-Ting FU
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引用次数: 6

摘要

分布式电力多机组在高速铁路中得到了广泛的应用。由于动车组中动力单元相互耦合的结构特点,将每个动力单元设置为一个agent。结合动车组的牵引/制动特性曲线和运行数据,采用相减聚类方法和模式分类算法,为每个agent建立多模型集。然后,根据多智能体网络拓扑结构和相互耦合约束关系建立多智能体模型。最后,采用平滑启动切换控制策略和多智能体分布式协调控制算法,保证各智能体的同步速度跟踪控制。在CRH380A实际运行数据上的仿真结果表明了该方法的有效性。
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Distributed Model Predictive Control Based on Multi-agent Model for Electric Multiple Units

The distributed-power electric multiple units (EMUs) are widely used in high-speed railway. Due to the structural characteristic of mutual-coupled power units in EMUs, each power unit is set as an agent. Combining with the traction/brake characteristic curve and running data of EMUs, a subtractive clustering method and pattern classification algorithm are adopted to set up a multi-model set for every agent. Then, the multi-agent model is established according to the multi-agent network topology and mutual-coupled constraint relations. Finally, we adopt a smooth start switching control strategy and a multi-agent distributed coordination control algorithm to ensure the synchronous speed tracking control of each agent. Simulation results on the actual CRH380A running data show the effectiveness of the proposed approach.

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来源期刊
自动化学报
自动化学报 Computer Science-Computer Graphics and Computer-Aided Design
CiteScore
4.80
自引率
0.00%
发文量
6655
期刊介绍: ACTA AUTOMATICA SINICA is a joint publication of Chinese Association of Automation and the Institute of Automation, the Chinese Academy of Sciences. The objective is the high quality and rapid publication of the articles, with a strong focus on new trends, original theoretical and experimental research and developments, emerging technology, and industrial standards in automation.
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