학술논문

Model-based Predictive Control in Three-Phase Inverters
Document Type
Conference
Source
2020 IEEE International Conference on Industrial Technology (ICIT) Industrial Technology (ICIT), 2020 IEEE International Conference on. :499-504 Feb, 2020
Subject
Communication, Networking and Broadcast Technologies
Components, Circuits, Devices and Systems
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Transportation
Predictive control
Cost function
Switches
Mathematical model
Inverters
Frequency control
Predictive models
Model predictive control (MPC)
three-phase inverters
variable switching frequency
fixed switching frequency
Language
ISSN
2643-2978
Abstract
In the last year model predictive control strategy has emerged as a good alternative for the control of power converters. This research proposes a new model-based predictive control strategy for a voltage source inverter, operating at variable and fixed switching frequency, with the objective of comparing the performance of the control algorithm and the output variables. The experimental results show the benefits of predictive control and the superiority of fixed frequency control strategies instead of the variable switching frequency. Based on the total harmonic distortion (THD) and the absolute error, we can prove that better results are obtained by forcing the converter to commutate at fixed frequency.