Optimization modeling of Cipancuh reservoir operational by Sugeno's fuzzy inference system method

International Conference on Design, Engineering and Computer Sciences 2018

工业技术;计算机科学

Suprapti, Suprapti^1

Civil Engineering Department, Faculty of Engineering, Universitas Mercubuana Jakarta, Indonesia^1

关键词: Fuzzy inference systems;    Fuzzy logic method;    Input and outputs;    Optimization modeling;    Reservoir operation;    Reservoir release;    Reservoir water;    Sugeno method;   

Others  :  https://iopscience.iop.org/article/10.1088/1757-899X/453/1/012040/pdf
DOI  :  10.1088/1757-899X/453/1/012040

来源: IOP

【 摘 要 】

Cipancuh reservoir is the only one reservoir for irrigation in Cipancuh. Volume of Cipancuh reservoir is depending on the rain fall. In previous research, mentioned that the potential of Cikandung river water source, can increase the volume of Cipancuh reservoir so as to irrigate the rain-fed rice fields around it. But in fact, the Cipancuh reservoir water release arrangement is still very manual, depending on weather and conditions. So, in this research proposed a new rule for operational Cipancuh reservoir. This rule is expected for optimum water using and can be accounted, so as water reservoir release can meet the demand according to its target. Reservoir operation is made by fuzzy logic method. This method is built on fuzzy logic which is a way to map an input space into the output space. Between input and output there is one black box that must map the input to the appropriate output. In the calculation use Sugeno's fuzzy inference system method. The results show that the release by Sugeno's fuzzy inference system method is almost the same as the required release of water in the field. The results of this research is expected to give contribution either be a new method in the optimization of reservoir operational.