Extended State Observer-Based Sliding-Mode Control for Three-Phase Power Converters

By Jianxing Liu, Sergio Vazquez, Ligang Wu, Abraham Marquez, Huijun Gao, Leopoldo García Franquelo. IEEE transactions on industrial electronics (1982. Print), 2017

474 citations recorded by the source corpus.

This paper proposes an extended state observer (ESO) based second-order sliding-mode (SOSM) control for three-phase two-level grid-connected power converters. The proposed control technique forces the input currents to track the desired values, which can indirectly regulate the output voltage while achieving a user-defined power factor. The presented approach has two control loops. A current control loop based on an SOSM and a dc-link voltage regulation loop which consists of an ESO plus SOSM. In this work, the load connected to the dc-link capacitor is considered as an external disturbance. An ESO is used to asymptotically reject this external disturbance. Therefore, its design is considered in the control law derivation to achieve a high performance. Theoretical analysis is given to show the closed-loop behavior of the proposed controller and experimental results are presented to validate the control algorithm under a real power converter prototype.

Subfields: Control and Systems Engineering, Electrical and Electronic Engineering

View Paper: https://www.semanticscholar.org/paper/f7f3268f52f3b659d9118a13a0b4ad20c38b450d

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Citations in the corpus

Multilevel Converters: Control and Modulation Techniques for Their Operation and Industrial Applications (2017, methodology): “Other approaches, like sliding mode control or model predictive control, have been also explored [37], [38], [56]–[58].”
Disturbance-Observer-Based Control for Air Management of PEM Fuel Cell Systems via Sliding Mode Technique (2019, background): “In these cases, state observers serve as a replacement for physical sensors, for obtaining the unavailable quantities, are of great interest [26], [33].”
Sliding Mode Direct Yaw-Moment Control Design for In-Wheel Electric Vehicles (2017, methodology): “In fact, as the alternative ways, the second-order sliding mode (SOSM) and nonlinear disturbance observer (NDOB) techniques can be used to reduce the chattering problem [21]–[23].”
Event-triggered sliding mode control of stochastic systems via output feedback (2017, unknown): “…to a variety of application systems, such as uncertain systems (Basin & Rodriguez-Ramirez, 2014), nonlinear systems (Basin & Calderon-Alvarez, 2010; Liu et al., 2017), stochastic systems (Shi, Xia, Liu, & Rees, 2006), time-delay systems (Basin, Rodriguez-Gonzalez, Fridman, & Acosta, 2005),…”