학술논문

Sliding Mode Based Model Predictive Controller for Single-Phase Multilevel T-type Inverters with LCL Filter
Document Type
Conference
Source
2024 IEEE International Conference on Automation/XXVI Congress of the Chilean Association of Automatic Control (ICA-ACCA) Automation/XXVI Congress of the Chilean Association of Automatic Control (ICA-ACCA), 2024 IEEE International Conference on. :1-7 Oct, 2024
Subject
Bioengineering
Communication, Networking and Broadcast Technologies
Computing and Processing
Power, Energy and Industry Applications
Robotics and Control Systems
Signal Processing and Analysis
Uncertainty
Simulation
Capacitors
Predictive models
Filtering algorithms
Multilevel inverters
Robustness
Vectors
Voltage control
Sliding mode control
grid-connected inverter
model predictive control
multilevel inverter
sliding mode control
T-type inverter
Language
Abstract
This paper presents an improved sliding mode-based finite control set model predictive controller for grid-tied single-phase multilevel inverter systems with an LCL filter. The proposed controller employs the inherent robustness of sliding mode control (SMC) with the fast dynamic response of the FCS-MPC method for controlling the complex behavior of LCL filter-based grid-tied inverter systems. The LCL-based grid-tied multilevel inverters necessitate the control of inverter side and grid side currents in addition to the grid filter capacitor voltage and DC-link capacitors voltage control/balance. Incorporating FCS-MPC with SMC eliminates the chattering effects in the traditional SMC algorithms. Moreover, incorporating SMC with FCS-MPC enables more robust and stable control performance compared to the conventional FCS-MPC method. The proposed method eliminates the need for weighting factors for DC-link capacitor voltage balance by properly selecting redundant voltage vectors. Simulation results are provided to validate the proposed SMC-based FCS-MPC controller with different active and reactive power injections to the grid.