Second-Order Sliding-Mode Controlled Three-Level Buck DC–DC Converters

Ling, Rui; Shu, Zhihui; Hu, Qingmei; Song, Yongduan

doi:10.1109/tie.2017.2750610

Cited by 44 publications

(15 citation statements)

References 21 publications

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“…, is a family of polynomial generated by the following convex combination X (1) (s), X (2) (s) = λX (1) s + (1 − λ) X (2) s (17) where λ ∈ [0, 1] Given three polynomials N (1) (s), N (2) (s), and D(s), a line segment of plants is defined by following ratio of a polynomial segment [N (1)…”

Section: B Interval Systemsmentioning

confidence: 99%

“…The first method uses a multiple surface sliding mode control to handle mismatched load uncertainty, meanwhile the second method is based on simultaneous state and disturb observer that are added into the loop. Furthermore, several works that combine sensorless structures with second order sliding mode control applied in dc-dc buck converters are discussed in the literature [17]- [19]. In [20] a proportional integral sliding function for dc-dc buck converter was investigated, the proposed sliding mode was modified to improve the steady state and dynamic performance by using a adaptive tuning controller to compensate the load variations, furthermore, the closed-loop stability was proved in steady state and several tests were carried out to evaluate the performance and stability of the control strategy proposed in comparison with the classical strategies.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Design and Experimental Assessment of a Robust Voltage Control for DC-DC Converters Considering Components Parametric Uncertainties

et al. 2020

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This study presents the design and evaluation of a robust controller, based on frequencydomain, in order to enhance the performance of dc-dc power converters under parametric uncertainties. This robust control approach takes into account all possible uncertainties in the system such as load and input voltage variations. Thereby, the robust controller design is based on the constraints of the gain and/or phase margins delimited by these uncertainties in order to ensure robust performance and stability of the system. Assessments on the performance of the proposed robust control are conducted. Comparisons with other control methods are also provided. Experimental validations on a dc-dc buck converter system test board are carried out to verify the theoretical claims. INDEX TERMS Buck converter, dc-dc converter, frequency-domain, power electronics, parametric uncertainties, robust control.

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Section: B Interval Systemsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Design and Experimental Assessment of a Robust Voltage Control for DC-DC Converters Considering Components Parametric Uncertainties

et al. 2020

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“…For the voltage regulation technology, the related control method is often studied, such as the Proportional-Integral-Differentive (PID) control [25], fuzzy logic control [26], feedback linearization control [27], and sliding mode control [28][29][30]. The MPC method is an attractive alternative to control the output voltage of DC-DC converter in power systems.…”

Section: Introductionmentioning

confidence: 99%

Maximum Power Point Tracking and Voltage Regulation of Two-Stage Grid-Tied PV System Based on Model Predictive Control

Liu

Lee

2020

Energies

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This paper proposes a maximum power point tracking (MPPT) and voltage regulation method based on model predictive control (MPC) for the two-stage grid-tied photovoltaic (PV) system, which can achieve MPPT and output voltage regulation of a PV system simultaneously. The MPPT algorithm based on MPC is implemented in a DC-DC boost converter. The reference voltage at maximum power point is obtained by dual step Incremental Conductance (I&C) algorithm under the rapidly varying illumination intensity, and the MPPT controller only needs to minimize one cost function of PV current, without pulse width modulation (PWM) module. To inject the generated PV power into the grid with high quality, this paper designs voltage regulation controller based on MPC to maintain the output voltage of the PV system at the desired value. The MPC controller outputs the optimal duty signal with the input and state constraints in the inner loop, and the PI controller in the outer loop is designed to improve the dynamic performance. The proposed method based on MPC was demonstrated using the SimPower systems tool in MATLAB/Simulink. Analysis and simulation results for the PV system show possible improvements on the closed-loop performance such as fast response and low overshoot.

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“…Although these approaches can eliminate the chattering effect, they suffer from the degradation of robustness and tracking performance. Second order sliding mode control (SOSMC) [25], [26] is a potential solution to reduce the chattering phenomenon without affecting system performance [27]. However, compared with the first order SMC, the increasing information demand limits its widespread application.…”

Section: Introductionmentioning

confidence: 99%

A Robust Second-Order Sliding Mode Control for Single-Phase Photovoltaic Grid-Connected Voltage Source Inverter

Guo

Sun

et al. 2019

IEEE Access

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In this paper, a super-twisting algorithm (STA) second-order sliding mode control (SOSMC) is proposed for single-phase photovoltaic grid-connected voltage source inverters. The SOSMC approach is aimed to inject sinusoidal current to grid with low total harmonic distortion (THD), strong robustness to parameter variations, and fast dynamic response to solar irradiance changes. As the discontinuous sign function in the traditional sliding mode control (SMC) is replaced by the continuous super-twisting function, the chattering problem is eliminated. Furthermore, a robust sliding mode differentiator (SMD) is proposed to acquire the derivative of current reference which is difficult to obtain in practice. The stability of the system under the proposed method is proved through the Lyapunov theory. The experimental results validate that the proposed method has satisfactory performance in both dynamic and steady-state conditions, as well as disturbance rejection.INDEX TERMS Super-twisting algorithm (STA), second order sliding mode control (SOSMC), sliding mode differentiator (SMD), single-phase photovoltaic grid-connected system.

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Second-Order Sliding-Mode Controlled Three-Level Buck DC–DC Converters

Cited by 44 publications

References 21 publications

Design and Experimental Assessment of a Robust Voltage Control for DC-DC Converters Considering Components Parametric Uncertainties

Design and Experimental Assessment of a Robust Voltage Control for DC-DC Converters Considering Components Parametric Uncertainties

Maximum Power Point Tracking and Voltage Regulation of Two-Stage Grid-Tied PV System Based on Model Predictive Control

A Robust Second-Order Sliding Mode Control for Single-Phase Photovoltaic Grid-Connected Voltage Source Inverter

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