Aydin Muhurcu

Parameter optimization of PI controller by PSO for optimal controlling of a Buck converter's output

This study focuses on the Buck Converter which is one of the Power Electronic topologies. The output of converter is tried to keep under control. The control is implemented via discrete time PI algorithm. In order to maintain efficiency of control process at high level, the controller parameters of Kp and Ki are optimized with the help of Particle Swarm Optimization (PSO) which is an iterative algorithm. The study is simulated in Matlab-Simulink and the results of control process are discussed.

SFLA based PI parameter optimization for optimal controlling of a Buck converter's voltage

In this work, it is aimed to control the output of Buck Converter which steps down a DC voltage level. Discrete Time PI Algorithm is chosen as control algorithm. The controller parameters of Kp and Ki is calculated by means of the optimization process to increase the efficiency of power transmission of Buck Converter instead of classical methods like Pole Placement Method. It is chosen Shuffled Frog Leaping Algorithm (SFLA) which is an iterative algorithm as optimization algorithm. The results obtained from simultaneous executions of control process is discussed by simulating in Matlab-Simulink.

PI's parameter optimization based on IWO for optimal controlling of a Buck converter's output

In this study, the output value of a Buck Converter, which is one of the power electronics circuit topologies and used for efficient energy conduction, is controlled. The discrete time PI algorithm is used in the control process. Kp and Ki parameters of the controller are optimized in order to ensure that the control process is fault-free with the lowest cost and the reference DC voltage level. There was used Invasive Weed (IWO) for parameter optimization. Simultaneous operations of the control process were performed via Matlab-Simulink. The Success of control process were discussed by observing results.