This study focuses on modeling the DC-DC converter and implementing predictive model control methods on the target system. The research aims to compare the efficiency of this approach against classical methods and devise a strategy for maximizing power extraction. Utilizing MATLAB software, we simulate the proposed converter and control method, analyzing the obtained data and results through comparison with alternative methods. The article aims to enhance the performance of the boost converter and DC-DC converter through predictive control. Specifically, the boost converter is tasked with converting 50 V photovoltaic voltage to 110 V. Our initial focus lies on designing predictive control for the boost converter, acknowledging its potential for higher accuracy compared to other control methods. However, a notable challenge of predictive control lies in manually determining coefficients in the cost function. In this work, we address this challenge by employing amplifying coefficients on the input and output of the MPC converter and determining these values using a meta-engineering algorithm. This approach aims to refine predictive control for improved performance. The proposed control demonstrates promising accuracy and speed in reaching set point values, with favorable energy metrics.
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Khalilzade,D. and Ahrabi,A. (2024). Designing Optimal Predictive Control Model for Boost Converter in Solar Inverters with the Help of Meta-Engineering Algorithms. Transactions on Machine Intelligence, 7(2), 147-160. doi: 10.47176/TMI.2024.147
MLA
Khalilzade,D. , and Ahrabi,A. . "Designing Optimal Predictive Control Model for Boost Converter in Solar Inverters with the Help of Meta-Engineering Algorithms", Transactions on Machine Intelligence, 7, 2, 2024, 147-160. doi: 10.47176/TMI.2024.147
HARVARD
Khalilzade D., Ahrabi A. (2024). 'Designing Optimal Predictive Control Model for Boost Converter in Solar Inverters with the Help of Meta-Engineering Algorithms', Transactions on Machine Intelligence, 7(2), pp. 147-160. doi: 10.47176/TMI.2024.147
CHICAGO
D. Khalilzade and A. Ahrabi, "Designing Optimal Predictive Control Model for Boost Converter in Solar Inverters with the Help of Meta-Engineering Algorithms," Transactions on Machine Intelligence, 7 2 (2024): 147-160, doi: 10.47176/TMI.2024.147
VANCOUVER
Khalilzade D., Ahrabi A. Designing Optimal Predictive Control Model for Boost Converter in Solar Inverters with the Help of Meta-Engineering Algorithms. Trans. Mach. Intell., 2024; 7(2): 147-160. doi: 10.47176/TMI.2024.147
