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Nishat, M.M., Faisal, F., Evan, A.J., Rahaman, M.M., Sifat, M.S. and Rabbi, H.M.F. (2020) Development of Genetic Algorithm (GA) Based Optimized PID Controller for Stability Analysis of DC-DC Buck Converter. Journal of Power and Energy Engineering, 8, 8-19.
https://doi.org/10.4236/jpee.2020.89002

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.