Asset Details
Do you wish to reserve the book?
Modular System of Cascaded Converters Based on Model Predictive Control
Hey, we have placed the reservation for you!
By the way, why not check out events that you can attend while you pick your title.
Oops! Something went wrong.
Looks like we were not able to place the reservation. Kindly try again later.
Are you sure you want to remove the book from the shelf?
Modular System of Cascaded Converters Based on Model Predictive Control
Do you wish to request the book?
Modular System of Cascaded Converters Based on Model Predictive Control
Please be aware that the book you have requested cannot be checked out. If you would like to checkout this book, you can reserve another copy
We have requested the book for you!
Your request is successful and it will be processed during the Library working hours. Please check the status of your request in My Requests.
Oops! Something went wrong.
Looks like we were not able to place your request. Kindly try again later.
Journal Article
Modular System of Cascaded Converters Based on Model Predictive Control
2024
Overview
A modular system of cascaded converters based on model predictive control (MPC) is proposed to meet the application requirements of multiple voltage levels and electrical isolation in renewable energy generation systems. The system consists of a Buck/Boost + CLLLC cascaded converter as a submodule, which is combined in series and parallel on the input and output sides to achieve direct-current (DC) voltage transformation, bidirectional energy flow, and electrical isolation. The CLLLC converter operates in DC transformer mode in the submodule, while the Buck/Boost converter participates in voltage regulation. This article establishes a suitable mathematical model for the proposed system topology, and uses MPC to control the system based on this mathematical model. Module parameters are designed and calculated, and simulation is built in MATLAB/Simulink to complete the simulation comparison experiment between MPC and traditional proportional integral (PI) control. Finally, a physical experimental platform is built to complete the physical comparison experiment. The simulation and physical experimental results prove that the control accuracy and response speed of MPC are better than traditional PI control strategy.
Publisher
Tech Science Press
