A Fuzzy Logic Controller Based on Maximum Power Point Tracking Algorithm for Partially Shaded PV Array-Experimental Validation
Document Type
Article
Publication Date
1-1-2018
Abstract
In the last two decades, the maximum power point tracking (MPPT) methods for PV system is becoming very interesting subject. Among these methods there is Fuzzy-MPPT, which is mainly based on two inputs and at least 25 rules. This structure need more calculation time and not easy to be implemented in hardware. For these reasons and in order to facilitate the MPPT synthesis, this paper proposes an intelligent MPPT controller based on a single-input Takagi-Sugeno fuzzy logic controller (SI-TS-FLC) with three linguistic variables and three rules. The proposed controller is simulated using MATLAB-SIMULINK for a PV system, which consists of a PV generator, DC-DC converter, and resistive load under varied temperature and irradiance levels. An experimental study is conducted using DSPACE 1104 card real-time board under partial shading condition. Simulation and experimental results show that the proposed controller exhibits less settling time and lower overshoot than the commonly used perturb and observe (P&O) algorithm in the transient state and minimum oscillation around the optimal operating point.
Keywords
Fuzzy control, Maximum power point trackers, Photovoltaic systems, Takagi-Sugeno model
Divisions
fac_eng
Funders
Directorate General for Scientific research and Technologies Development-Algerian Ministry of Higher Education and Scientific Research,Power Electronics and Renewable Energy Research Laboratory (PEARL) at Malaya University
Publication Title
Elektronika ir Elektrotechnika
Volume
24
Issue
4
Publisher
Kaunas University of Technology