Model-Free Predictive Current Controller for Voltage Source Inverters Using ARX Model and Recursive Least Squares
Document Type
Article
Publication Date
5-1-2024
Abstract
This brief proposes a model-free deadbeat predictive controller (MF-DPC) for voltage source inverters. The proposed control scheme does not require knowledge of the system parameters for its correct operation. This is performed using an auto-regressive with exogenous input (ARX) model with a recursive least squares (RLS) estimation algorithm for parameter identification to represent the physical system. A state-space predictive model using the identified parameters and the past data measurements is established to calculate the inverter voltage reference using the deadbeat control principle and generate it using space vector modulation (SVM) allowing fixed-switching operation. In addition, the inherent sensitivity of the deadbeat controller to parameter mismatches is avoided. Simulation and experimental results confirm the validity of the proposed model-free control approach in terms of tracking accuracy and waveform quality.
Keywords
Predictive models, Inverters, Mathematical models, Load modeling, Integrated circuit modeling, Predictive control, Control systems, Deadbeat (DB) predictive control, model-free, data-driven, recursive least square (RLS) identification, auto-regressive with exogenous input (ARX) model
Divisions
sch_ecs
Publication Title
IEEE Transactions on Circuits and Systems II-Express Briefs
Volume
71
Issue
5
Publisher
IEEE-Inst Electrical Electronics Engineers Inc
Publisher Location
445 HOES LANE, PISCATAWAY, NJ 08855-4141 USA