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OPTIMIZATION OF PID CONTROLLER USING THE MULTI-OBJECTIVE EVOLUTIONARY ALGORITHM BASED ON DECOMPOSITION
Abstract
In control system design, controller parameters need to be adjusted for the controller to show optimum performance. This is usually achieved by solving a “Multi-Objective Optimization Problem” (MOP). In this study, “Proportionality-Integral-Derivative” (PID) controller is considered as the controller and the optimization of the performance objectives selected as the overshoot and rise times of the controller is performed. Although it is possible to adjust the PID parameters by using “Evolutionary Algorithms” (EAs) belonging to the class of population-based optimization algorithms, the computational load of EAs increases when diversity and eliteness are considered for the found solutions. For this reason, an algorithm known as “Decomposition-Based Multi-Objective Evolutionary Algorithm” (MOEA/D) has been preferred instead of EAs for the solution of the optimization problem. With this algorithm, the MOP is addressed by decomposing it into a certain number of single-objective sub-problems over scalarization functions based on the Tchebycheff decomposition. Therefore, instead of a single optimum solution, a set of “Pareto Optimal” (PO) solutions is reached. In this study, the performances of the DC-DC buck converter were evaluated using PID controllers with PO parameter sets obtained with the help of MOEA/D.
Keywords
References
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Details
Primary Language
Turkish
Subjects
Electrical Engineering (Other)
Journal Section
Research Article
Authors
Ali Fazıl Uygur
*
0000-0002-1049-4927
Türkiye
Publication Date
September 3, 2025
Submission Date
June 30, 2024
Acceptance Date
July 11, 2025
Published in Issue
Year 1970 Volume: 28 Number: 3