Article citationsMore>>

Alfergani, A., Elkawafi, S., Nour, T.M., Mohamed Elkezza, K. and Kahlil, A. (2023) Performance Evaluation of DC-DC Buck Converter with Voltage Control Loop Using Genetic Algorithm with Different Objective Functions. 2023 IEEE 3rd International Maghreb Meeting of the Conference on Sciences and Techniques of Automatic Control and Computer Engineering (MI-STA), Benghazi, 21-23 May 2023, 135-140.
https://doi.org/10.1109/mi-sta57575.2023.10169481

has been cited by the following article:

• TITLE: Optimizing Pole Placement Strategies for a Higher-Order DC-DC Buck Converter: A Comprehensive Evaluation

  AUTHORS: Richard Tymerski

  KEYWORDS: DC-DC converter, Integral Time Absolute Error (ITAE), Integral Absolute Error (IAE), Integral Square Error (ISE), Integral Time Squared Error (ITSE), Linear Quadratic Regulator (LQR), Particle Swarm Optimization (PSO)

  JOURNAL NAME: Journal of Power and Energy Engineering, Vol.13 No.1, January 26, 2025

  ABSTRACT: This paper explores pole placement techniques for the 4th order C1 DC-to-DC Buck converter focusing on optimizing various performance metrics. Refinements were made to existing ITAE (Integral of Time-weighted Absolute Error) polynomials. Additionally, metrics such as IAE (Integral Absolute Error), ISE (Integral of Square Error), ITSE (Integral of Time Squared Error), a MaxMin metric as well as LQR (Linear Quadratic Regulator) were evaluated. PSO (Particle Swarm Optimization) was employed for metric optimization. Time domain response to a step disturbance input was evaluated. The design which optimized the ISE metric proved to be the best performing, followed by IAE and MaxMin (with equivalent results) and then LQR.