Designing an Intelligent Control Philosophy in Reservoirs of Water Transfer Networks in Supervisory Control and Data Acquisition System Stations
文献类型：期刊论文
| 作者 | Ali Dolatshahi Zand, Kaveh Khalili-Damghani, Sadigh Raissi |
| 刊名 | International Journal of Automation and Computing
 |
| 出版日期 | 2021 |
| 卷号 | 18期号:5页码:694-717 |
| 关键词 | Water demand forecasting water transfer network supervisory control and data acquisition water management, multi-core artificial neural network, fuzzy inference system |
| ISSN号 | 1476-8186 |
| DOI | 10.1007/s11633-021-1284-1 |
| 英文摘要 | In this paper, a hybrid neural-genetic fuzzy system is proposed to control the flow and height of water in the reservoirs of water transfer networks. These controls will avoid probable water wastes in the reservoirs and pressure drops in water distribution networks. The proposed approach combines the artificial neural network, genetic algorithm, and fuzzy inference system to improve the performance of the supervisory control and data acquisition stations through a new control philosophy for instruments and control valves in the reservoirs of the water transfer networks. First, a multi-core artificial neural network model, including a multi-layer perceptron and radial based function, is proposed to forecast the daily consumption of the water in a reservoir. A genetic algorithm is proposed to optimize the parameters of the artificial neural networks. Then, the online height of water in the reservoir and the output of artificial neural networks are used as inputs of a fuzzy inference system to estimate the flow rate of the reservoir inlet. Finally, the estimated inlet flow is translated into the input valve position using a transform control unit supported by a nonlinear autoregressive exogenous model. The proposed approach is applied in the Tehran water transfer network. The results of this study show that the usage of the proposed approach significantly reduces the deviation of the reservoir height from the desired levels. |
| 源URL | [http://ir.ia.ac.cn/handle/173211/45458]  |
| 专题 | 自动化研究所_学术期刊_International Journal of Automation and Computing |
| 作者单位 | Department of Industrial Engineering, South Tehran Branch, Islamic Azad University, Tehran 1151863411, Iran |
| 推荐引用方式 GB/T 7714 | Ali Dolatshahi Zand, Kaveh Khalili-Damghani, Sadigh Raissi. Designing an Intelligent Control Philosophy in Reservoirs of Water Transfer Networks in Supervisory Control and Data Acquisition System Stations[J]. International Journal of Automation and Computing,2021,18(5):694-717. |
| APA | Ali Dolatshahi Zand, Kaveh Khalili-Damghani, Sadigh Raissi.(2021).Designing an Intelligent Control Philosophy in Reservoirs of Water Transfer Networks in Supervisory Control and Data Acquisition System Stations.International Journal of Automation and Computing,18(5),694-717. |
| MLA | Ali Dolatshahi Zand, Kaveh Khalili-Damghani, Sadigh Raissi."Designing an Intelligent Control Philosophy in Reservoirs of Water Transfer Networks in Supervisory Control and Data Acquisition System Stations".International Journal of Automation and Computing 18.5(2021):694-717. |
入库方式： OAI收割
来源：自动化研究所
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