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Design of Type III Fuzzy Controller for Buck/Boost Converter
The voltage output in solar systems is subject to variation based on factors such as the output current, atmospheric conditions, and the angle of incidence of the sun's rays. This article examines the utilization of a direct boost/buck converter for regulating the output voltage of a solar module. The converter's capacity to manipulate the input voltage by both increasing and decreasing it, along with its various advantageous characteristics, makes it a suitable choice for this purpose. In order to achieve the desired objective, an initial step involves the design of two proportional–integral (PI) controllers and Type III controllers utilizing the classical method. Subsequently, the design of two fuzzy-PI controllers as well as fuzzy Type III controllers is carried out by leveraging the latent knowledge present in the input–output data pair of said controllers. The TSK fuzzy system design method involves the extraction of fuzzy rules from input–output data pairs through differential clustering. The coefficients are then adjusted using the recursive least squares method, which is according to the criterion of minimizing the sum of least squares error. The simulation results demonstrate that fuzzy controllers outperform classical controllers in this solar system across various reference voltages. The suggested controller has less settling time and less overshoot than the classic controller. On the other hand, this controller is resistant to noise, temperature, and different Sun irradiances.
Design of Type III Fuzzy Controller for Buck/Boost Converter
The voltage output in solar systems is subject to variation based on factors such as the output current, atmospheric conditions, and the angle of incidence of the sun's rays. This article examines the utilization of a direct boost/buck converter for regulating the output voltage of a solar module. The converter's capacity to manipulate the input voltage by both increasing and decreasing it, along with its various advantageous characteristics, makes it a suitable choice for this purpose. In order to achieve the desired objective, an initial step involves the design of two proportional–integral (PI) controllers and Type III controllers utilizing the classical method. Subsequently, the design of two fuzzy-PI controllers as well as fuzzy Type III controllers is carried out by leveraging the latent knowledge present in the input–output data pair of said controllers. The TSK fuzzy system design method involves the extraction of fuzzy rules from input–output data pairs through differential clustering. The coefficients are then adjusted using the recursive least squares method, which is according to the criterion of minimizing the sum of least squares error. The simulation results demonstrate that fuzzy controllers outperform classical controllers in this solar system across various reference voltages. The suggested controller has less settling time and less overshoot than the classic controller. On the other hand, this controller is resistant to noise, temperature, and different Sun irradiances.
Design of Type III Fuzzy Controller for Buck/Boost Converter
J. Inst. Eng. India Ser. B
Sun, Jun (author) / Xiang, Hongbin (author)
Journal of The Institution of Engineers (India): Series B ; 105 ; 1611-1621
2024-12-01
11 pages
Article (Journal)
Electronic Resource
English
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