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Sensorless Hybrid Control System for Boost Converter in Presence of Uncertain Dynamics

Lookup NU author(s): Professor Damian GiaourisORCiD

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This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License (CC BY-SA 4.0).


Abstract

© 2025 Department of Agribusiness, Universitas Muhammadiyah Yogyakarta. All rights reserved. This study presents a design method for a voltage regulation system for a Boost converter that can be used in a power distribution unit within a power generation system. The regulation system is based on a hybrid, sensorless control approach, the structure of the controller is built based on the combination of PI and LQR controllers. The role of the new structural controller in improving the transient and steady-state response as well as enhancing the stability of the Boost converter output signal is studied. The states of the converter are estimated by Luenberger observer system, which is designed using pole placement (PP) technique. Mathematical model of the Boost converter with the hybrid LQR-PI controller is formulated. The gain parameters of the LQR-PI controller are obtained effectively by using Grey Wolf Optimizer (GWO) algorithm. In optimization process the GWO with an effective fitness function is used to tune the state and input weighting matrices of LQR controller. To validate the proposed control system a comparison between the performance of the LQR-PI controller and LQR controller with integral action (I) is achieved. The Boost converter circuit with feedback LQR-I/PI controllers are simulated utilizing Simulink software and their responses are assessed based on rise time, settling time overshoot and steady state error performance parameters. To verify the robustness of the control system, the performance of the converter is evaluated in five working scenarios under hard uncertainties in source voltage, reference voltage and resistive load. The simulation results demonstrate the effectiveness of the presented LQR-I/PI controllers in rejecting the effect of disturbances in the system response. However, the LQR-PI controller showed more accurate and stable output voltage compared to the LQR-I controller.


Publication metadata

Author(s): Mohammed IK, Ibrahim HK, Attya SM, Giaouris D

Publication type: Article

Publication status: Published

Journal: Journal of Robotics and Control (JRC)

Year: 2025

Volume: 6

Issue: 3

Pages: 1227-1239

Online publication date: 13/05/2025

Acceptance date: 02/04/2018

Date deposited: 27/05/2025

ISSN (print): 2715-5056

ISSN (electronic): 2715-5072

Publisher: Department of Agribusiness, Universitas Muhammadiyah Yogyakarta

URL: https://doi.org/10.18196/jrc.v6i3.26211

DOI: 10.18196/jrc.v6i3.26211


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