A Comparative Study of Terminal and Conventional Sliding-Mode Startup Peak Current Controls for a Synchronous Buck Converter

Repecho, Víctor; Masclans, Nuria; Biel, Domingo

doi:10.1109/jestpe.2019.2960924

Cited by 13 publications

(12 citation statements)

References 28 publications

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“…On the other hand, the reaching time of the sliding surface can be decreased with the increase of the value of Ω. Though the system state can promptly reach the sliding surface if an extreme value of Ω is chosen as shown in (24), the system will be highly sensitive to the external disturbance because of the utilisation of sign function shown in (23) and (31). Moreover, the selection of the upper bound δ for the lumped uncertainty ‖KH‖ 1 given in (19) has a significant F I G U R E 9 Flower contour electric currents of VCM-driven X-Y motion stage with ITSMC, FITSMC and FITSMC-AUO at nominal condition effect on the control performances.…”

Section: Methodsmentioning

confidence: 99%

“…Moreover, the selection of the upper bound δ for the lumped uncertainty ‖KH‖ 1 given in (19) has a significant F I G U R E 9 Flower contour electric currents of VCM-driven X-Y motion stage with ITSMC, FITSMC and FITSMC-AUO at nominal condition effect on the control performances. If the value of δ is too large, the hitting control laws shown in (23) and (31) easily engender the chattering phenomenon in the control effort. Contrarily, the stability condition may not be ensured if it is not big enough.…”

Section: Methodsmentioning

confidence: 99%

“…In the past decade, terminal sliding mode control (TSMC) has exhibited favourable control performances with finite time convergence [22,23]. Recent studies of TSMC focussed on the improvement of the disturbance rejection and attenuation of the chattering phenomena.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Robust fractional‐order integral terminal sliding mode control with adaptive uncertainty observation for a VCM‐driven X–Y motion stage

Chen

Wu²,

Yu³

2022

IET Electric Power Appl

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In this study, a fractional-order integral terminal sliding mode control (FITSMC) system is proposed to control a new voice coil motor (VCM)-driven X-Y motion stage with different thrust forces in the X-Y axes for the tracking of reference contours. First, the operation principle and dynamics of the stage are conducted based on the equivalent electrical circuit and magnetic analysis of the VCM. Subsequently, an integer-order integral terminal sliding mode control (ITSMC) approach is designed to control the stage for contour tracking in finite time. To enhance the positioning accuracy of the ITSMC, a novel FITSMC system is further proposed by bringing in a new fractionalorder integral terminal sliding surface. However, the hitting control gain for the FITSMC is difficult to design because of the system uncertainties. To address this issue, an intelligent adaptive uncertainty observer (AUO) is proposed to directly observe the system uncertainties, thereby eliminating the need for hitting control term and attenuating the chattering phenomena of control force. Stability analysis of the proposed FITSMC and FITSMC-AUO systems is conducted on the basis of the Lyapunov stability theory. The experimental results demonstrate the effectiveness and superiority of the proposed control systems in comparison with the existing ITSMC system in the contour tracking tests.

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Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Robust fractional‐order integral terminal sliding mode control with adaptive uncertainty observation for a VCM‐driven X–Y motion stage

Chen

Wu²,

Yu³

2022

IET Electric Power Appl

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“…The authors in [23] proposed a dutyratio based sliding mode control for buck converter with constant power loads (PCLs), which is capable of stabilizing power systems in a large range of operating conditions. For achieving a fast convergence property, terminal sliding mode (TSM) control has been further implemented for buck converters in [24][25][26][27]. With the introduction of a nonlinear sliding manifold, a finite time convergence for voltage regulation can be well guaranteed.…”

Section: Introductionmentioning

confidence: 99%

ELM-Based Adaptive Practical Fixed-Time Voltage Regulation in Wireless Power Transfer System

Zhang

et al. 2023

Energies

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This paper proposes an extreme learning machine (ELM)-based adaptive sliding mode control strategy for the receiver-side buck converter system in the wireless power transfer system subjecting to the lumped uncertainty. The proposed control strategy utilizes a singularity-free fixed-time sliding mode (FTSM) feedback control, which ensures a fixed-time convergence for both the sliding variable and voltage tracking error. An ELM-based uncertainty bound estimator is further designed to learn the uncertainty bound information in real-time, which opportunely loosens the constraint of bound information requirement for sliding mode control design. The global stability of the closed-loop system is rigidly analyzed, and the good performance of the proposed control strategy is validated by comparison experiments which exhibit ideal overshoot elimination, 45.70–51.72% reduction of settling time, and 13.65–36.96% reduction of the root mean square value for voltage tracking error with respect to different load types.

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“…In [4,5], digital charge balance controllers are proposed to achieve a time-optimal transient response. In terms of non-linear approaches, digital sliding mode controls are preferable strategies for optimizing large signal transients [6][7][8][9][10].…”

Section: Introductionmentioning

confidence: 99%

State Switched Discrete-Time Model and Digital Predictive Voltage Programmed Control for Buck Converters

et al. 2020

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Switched mode power converters are nonlinear systems, and it is a constant challenge to improve their modeling accuracy and control performance. In this paper, a State Switched Discrete-time Model (SSDM) is proposed, which achieves a higher accuracy at a high frequency than that of conventional state averaged models. Instead of averaging the converter states for approximation, the states within each switching cycle are considered in the modeling. Based on total differential equations of switching-ON and switching-OFF durations, the inductor current and output voltage within a cycle are accurately calculated, which derives the SSDM. Furthermore, a Digital Predictive Voltage Programmed (DPVP) control strategy is derived through the SSDM. Through voltage prediction, a suitable duty ratio is calculated that regulates the output voltage to its reference value in the minimum switching cycles. In this way, the converter achieves a very fast load/line transient response and reference tracking speed, and it exhibits a high stability under deviated inductance. Finally, the accuracy of SSDM and the system stability are proved by frequency response analyses and experiments.

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A Comparative Study of Terminal and Conventional Sliding-Mode Startup Peak Current Controls for a Synchronous Buck Converter

Cited by 13 publications

References 28 publications

Robust fractional‐order integral terminal sliding mode control with adaptive uncertainty observation for a VCM‐driven X–Y motion stage

Robust fractional‐order integral terminal sliding mode control with adaptive uncertainty observation for a VCM‐driven X–Y motion stage

ELM-Based Adaptive Practical Fixed-Time Voltage Regulation in Wireless Power Transfer System

State Switched Discrete-Time Model and Digital Predictive Voltage Programmed Control for Buck Converters

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