Implementation of advanced control methods in digital signal processor for power converter regulation

• Main Author: Li, Hongren
• Other Authors: Erry Gunawan
• Format: Final Year Project
• Language: English
• Published: 2018
• Subjects: DRNTU::Engineering
• Online Access: http://hdl.handle.net/10356/74933
• Institution: Nanyang Technological University

The DC-DC power converters are widely adopted in microgrids as the interface for various energy sources and loads. To control the power converters and the corresponding microgrid with better performance, the advanced control methods, such as model predictive voltage control (MPVC) and deadbeat control, are imperative. In order to compare the performance, the conventional proportional-integral (PI) controller is also implemented in the project. The objective of this project is to implement the three control methods in both simulation and experiment and compare their performance. To verify the feasibility of the three controllers before application, the simulation model of the three controllers were built based on Matlab/Simulink. The implementation of the three control methods can be achieved on the digital signal processors (DSPs), TI TMS320F28379D in this project, by transplanting the algorithms using C/C++ codes. The results of this project show that the MPVC controller is able to improve control accuracy, and the dead-beat controller can shorten the settling time. The completion of the project can make the DC-DC buck converter exhibit a better performance. However, how to debug the controller to obtain the best possible state should be studied in the future.