A New Adaptive Model Reference Control Algorithm for a Class of DC-AC Inverters

In this paper, we report a new adaptive model reference control algorithm for a class of DC-AC inverters. The proposed design is based on a simplified discrete-time domain model with completely unknown system and input parameters. The control variable is designed as the turn-on interval of switch combinations within one switching cycle. The asymptotical stability of the proposed control is rigorously proved by using the Lyapunov stability method.

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Publication Details

Published
2024-11-03
DOI
https://doi.org/10.1109/iecon55916.2024.10905995
Primary Topic
Sensorless Control of Electric Motors
Type
article
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article

A New Adaptive Model Reference Control Algorithm for a Class of DC-AC Inverters

Jing Wang
Sensorless Control of Electric Motors
article

A New Adaptive Model Reference Control Algorithm for a Class of DC-AC Inverters

Jing Wang
article en

Abstract

In this paper, we report a new adaptive model reference control algorithm for a class of DC-AC inverters. The proposed design is based on a simplified discrete-time domain model with completely unknown system and input parameters. The control variable is designed as the turn-on interval of switch combinations within one switching cycle. The asymptotical stability of the proposed control is rigorously proved by using the Lyapunov stability method.

Illinois State University (US)
Affordable and clean energy
Openalex Percentile: Top 74%
Sensorless Control of Electric Motors
DOISourceOpenAlex
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A New Adaptive Model Reference Control Algorithm for a Class of DC-AC Inverters — Jing Wang · (2024) | TGRS Research Map | TGRS