Mahmood Mola - Department of Electrical Eng., Tehran Institute of Technology, Tehran, Iran.
Hossein ali karimnejad bayi - Department of Electrical Eng., Tehran Institute of Technology, Tehran, Iran.
Sina Shojaee - Department of Electrical Eng., Tehran Institute of Technology, Tehran, Iran.
mohammad mahdi mebadi - Department of Electrical Eng., Tehran Institute of Technology, Tehran, Iran.

The purpose of creating a water pumping station is to transfer drinking water to distribution network and to the consumer. Therefore, it is necessary that described completely achieved from station model. In this paper, a modern method is proposed for modeling and identifying urban drinking water pumping station using Adaptive Neuro-Fuzzy Inference system (ANFIS) algorithm. The model is based on MIMO and includes drinking water reservoirs, water pumping system and its connections. The proposed model includes three inputs; flow between the storage wells and reservoir, flow between of the side pumping station and reservoir, and pressure of the storage wells to the reservoir. It also includes three outputs; pressure and flow from the reservoir to the urban network and mean height of water in the reservoir. This method benefits from real data obtained from one of Tehran's water pumping stations. The results show that the proposed algorithm is accurate and practical. Also the dynamic behavior of water pumping station are Completely demonstrated.

Pumping Station of Urban Drinking water, Adaptive Neuro Fuzzy Inference System (ANFIS), MIMO