Experimental evaluation of type‐2 fuzzy logic controller adapted to real environmental conditions for maximum power point tracking of solar energy systems

Abstract

The conventional angle of incremental conductance (AIC) method fails to track the maximum power point (MPP) when a rapid change in solar irradiation and/or panel temperature appears because it cannot distinguish between rapid changes in photovoltaic (PV) current and voltage under real environmental conditions. The present study describes setbacks of the conventional AIC method and proposes an effective approach based on the combination of AIC and type‐2 fuzzy. The proposed approach offers a significant advantage in terms of maximum power transfer to the load under long‐term weather patterns under which broken clouds appear frequently during a 40‐m testing period. The proposed approach is installed on 250 W module of a 10 kWp real PV plant in Kahramanmaras Sutcu Imam University. Later, its performance is validated by dSPACE1104 controller card operating in real time with MATLAB/Simulink tools using daily measured data. The experimental results obtained from the laboratory setup based on dSPACE1104 controller card demonstrate the facility and feasibility of the proposed approach for real PV plant with boost power converter and load.

Evaluation on nursing risk management model of renal medicine based on artificial intelligence

“…For the coefficient of variation, the patient factor has the largest coefficient of variation, while the system factor has a minimum coefficient of variation of 0.06. From the comparison of these values, it can be seen that system factors have the greatest impact, so relevant algorithms of artificial intelligence should be used to improve the nursing risk management system [8]. As shown in Figure 3, it can be seen from the data graph that among the system factors, the weight values of the organizational factors, institutional construction, management factors, and support systems in the secondary indicators are different, and the coefficient of variation is also different.…”