Filter‐based control of a buck converter for uncertain non‐linear loads

Abstract

In this study, a filter‐based control scheme is proposed for dc–dc buck‐type converters. Primarily, this control scheme reduces costs by requiring only a single output voltage measurement, removing the need for potentially noisy current measurements. The proposed controller is compared with a Type III error amplifier, which is a linear controller commonly used for buck‐type converters. The performance of these controllers is compared when applied to linear and non‐linear loads. A Lyapunov stability analysis is utilised to demonstrate the system stability of the proposed control scheme. Experimental results demonstrate excellent voltage regulation and insensitivity to the load variations for the proposed controller as compared to Type III controller.

A novel cat swarm optimization‐based fuzzy PI controller for improving dynamic response of converter

“…However, the peak overshoot was not minimized by the PSO algorithm. [24][25][26] A novel DC-DC bidirectional buck-boost converter was employed to control the DC bus in an EV power train. However, the computational complexity was not minimized by the VGI control approach.…”

“…The particle swarm optimization (PSO) algorithm of the PID controller was introduced to interleave the buck‐boost power converter (BBPC). However, the peak overshoot was not minimized by the PSO algorithm 24–26 . A novel DC‐DC bidirectional buck‐boost converter was employed to control the DC bus in an EV power train.…”