• P-ISSN 0974-6846 E-ISSN 0974-5645

Indian Journal of Science and Technology


Indian Journal of Science and Technology

Year: 2019, Volume: 12, Issue: 17, Pages: 1-6

Original Article

Enhancing the Power Tracking Method in Hybrid System using Artificial Neural Network Integrated with Fuzzy Controller


Objective: To search a point where huge amount of power can be coerced from hybrid system under continuously varying environmental conditions. Methods/Statistical Analysis: Artificial  Neural Network integrated with Fuzzy Controller (ANFIS) is proposed to enhance the power tracking method in Hybrid System. This mode of extracting maximum power is highly accurate and it is highly adopted for eco- friendly changes. Due to fast tracking of maximum power, the overall efficiency is highly increased. The projected system has very less settling time and very low overshoot. Findings: This study contributes to a controller design using ANFIS for rapid tracking of maximum power in hybrid system. Application: This controller can be used in all renewable energy based hybrid system which has become a popular electrical energy source. The performance is upgraded by settling time, overshoot and accuracy.

Keywords: ANFIS Controller, MPPT, Solar PV Array, Wind Turbine


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