Control of DMC-Based LLC Resonant Converters
Journal Title: Journal of Intelligent Systems and Control - Year 2023, Vol 2, Issue 4
Abstract
LLC resonant converters own high power efficiency and density, and are widely used in electric vehicles, intelligent and communication power sources, and other fields. The converters cannot obtain accurate mathematical models and their nonlinear characteristics are complex. Therefore, traditional proportional-integral (PI) control cannot achieve control effect well. The dynamic matrix control (DMC) strategy was applied to the converter model, aiming to improve the system’s dynamic response and reduce overshoot. In addition, the DMC algorithm was used in this study to achieve precise system control. The algorithm is robust, and can improve the system’s stability and reliability. At the same time, the system can be flexibly controlled through parameter adjustment. Furthermore, a voltage prediction closed-loop controller was designed to enhance the system’s dynamic performance. In addition, a simulation model was built based on this to verify the feasibility and effectiveness of the scheme. The simulation results showed that the DMC algorithm suppressed overshoot and improved dynamic response effectively.
Authors and Affiliations
Xixi Han, Zhibo Lin, Keqi Kang, Xiaopei Zhu
A Few Maclaurin Symmetric Mean Aggregation Operators for Spherical Fuzzy Numbers Based on Schweizer-Sklar Operations and Their Use in Artificial Intelligence
One significant benefit of the Maclaurin symmetric mean (MSM) is that it is a generalization of many extend operators and can consider the interrelationships among the multi-input arguments, such as multi-attributes or m...
Nonlinear Model Predictive Control for Longitudinal Tracking of Maglev Cars
In the era of low-carbon travel, maglev cars emerge as a high-speed, environmentally sustainable solution, leveraging their frictionless, smooth operation. This study introduces a nonlinear dynamic model for the longitud...
Adaptive Neuro-Fuzzy Inference System Based on Sliding Mode Control for Quadcopter Trajectory Tracking with the Presence of External Disturbance
Objective of this study is to develop a novel, effective, and robust Sliding Mode Control (SMC) method for quadcopters (also called quadrotors) based on Adaptive Neuro-Fuzzy Inference System (ANFIS) for the purposes of e...
Neuro-Fuzzy Logic Controller for Switching Capacitor Banks in Power Factor Correction within the Manufacturing Industry
Regulatory bodies in electrical engineering mandate the installation of power factor (PF) improvement systems to elevate PF values to between 0.9 and 0.96. Compliance is enforced by regional or local utility companies th...
Modeling and Control Strategy of Wind-Solar Hydrogen Storage Coupled Power Generation System
Hydrogen production by wind and solar hybrid power generation is an important means to solve the strong randomness and high volatility of wind and solar power generation. In this paper, the permanent magnet direct-drive...