Adaptive Model Predictive Control Applying on Two-Switch Forward Converter for the Application of High Voltage Battery Management System

The two-switch forward converter (TSFC) is controlled by using Adaptive Model Predictive Control (A - MPC). Due to its multiple objective and constraint handling ability, this type of controller is suitable for a broad range of input voltage applications, such as DC supply for an electronic subsystem in a high-voltage Battery Management System (BMS). A-MPC controls the output voltage in the presence of model uncertainties. This research work presents an in-depth analysis of converter modelling and control. The proposed A - MPc control strategy is implemented in a MATLAB simulation environment to test its efficacy and robustness. The proposed A-MPC control strategy works better as compared to PI controller and second-order sliding mode controller known as super twisting control (STC).

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Publication Details

Published
2024-08-04
DOI
https://doi.org/10.1109/intelec60315.2024.10678959
Primary Topic
Power Systems and Renewable Energy
Type
article
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article

Adaptive Model Predictive Control Applying on Two-Switch Forward Converter for the Application of High Voltage Battery Management System

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Power Systems and Renewable Energy
article

Adaptive Model Predictive Control Applying on Two-Switch Forward Converter for the Application of High Voltage Battery Management System

Sandip Ghosh, Shiv Prakash, N. K. Swami Naidu, Aditya Kumar, Rangoli Singh
article en

Abstract

The two-switch forward converter (TSFC) is controlled by using Adaptive Model Predictive Control (A - MPC). Due to its multiple objective and constraint handling ability, this type of controller is suitable for a broad range of input voltage applications, such as DC supply for an electronic subsystem in a high-voltage Battery Management System (BMS). A-MPC controls the output voltage in the presence of model uncertainties. This research work presents an in-depth analysis of converter modelling and control. The proposed A - MPc control strategy is implemented in a MATLAB simulation environment to test its efficacy and robustness. The proposed A-MPC control strategy works better as compared to PI controller and second-order sliding mode controller known as super twisting control (STC).

Indian Institute of Technology BHU (IN), Banaras Hindu University (IN)
Affordable and clean energy
Openalex Percentile: Top 86%
Power Systems and Renewable Energy
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