Preprint Article Version 1 This version is not peer-reviewed

Control of three-phase two-level inverters: A stochastic LPV model approach

Version 1 : Received: 22 October 2024 / Approved: 22 October 2024 / Online: 22 October 2024 (12:26:00 CEST)

How to cite: Luo, W.; Zhang, R.; Zhang, J.; Wu, L.; Vazquez, S.; Franquelo, L. G. Control of three-phase two-level inverters: A stochastic LPV model approach. Preprints 2024, 2024101721. https://doi.org/10.20944/preprints202410.1721.v1 Luo, W.; Zhang, R.; Zhang, J.; Wu, L.; Vazquez, S.; Franquelo, L. G. Control of three-phase two-level inverters: A stochastic LPV model approach. Preprints 2024, 2024101721. https://doi.org/10.20944/preprints202410.1721.v1

Abstract

This paper aims to propose a stochastic linear parameter varying (LPV) model approach to design a state feedback controller for three-phase two-level inverters. To deal with the parameter changes, stochastic noise and delays faced by the inverter, it is modeled as a stochastic LPV system with time delay. The stability analysis and control synthesis are conducted for the LPV system. With parameter-dependent Lyapunov functionals, the sufficient stability condition for asymptotical mean-square stability is obtained. In addition, the slack matrix technique is employed to improve the feasibility and reduce the conservatism of the conditions. The obtained theoretical results are applied to the three-phase two-level inverter, whose currents are treated as state variables and controlled to reach the equilibrium point. The simulation results validate the effectiveness of the proposed theories and demonstrate the advantages of using the slack matrix.

Keywords

Three-phase two-level inverter; linear parameter varying (LPV) system; stochastic system; time delay; mean square stability

Subject

Engineering, Electrical and Electronic Engineering

Comments (0)

We encourage comments and feedback from a broad range of readers. See criteria for comments and our Diversity statement.

Leave a public comment
Send a private comment to the author(s)
* All users must log in before leaving a comment
Views 0
Downloads 0
Comments 0


×
Alerts
Notify me about updates to this article or when a peer-reviewed version is published.
We use cookies on our website to ensure you get the best experience.
Read more about our cookies here.