A Double-Integral Sliding Mode-Based Hybrid Control for a Single-Input-Multiple-Output Buck Converter

Mao, Yuan; Yang, Yun

doi:10.1109/jestie.2021.3051588

Cited by 15 publications

(1 citation statement)

References 22 publications

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“…On the one hand, the precipitation of coal mining in the mining area is slightly reduced, but the biggest impact is the large-scale reduction of runoff due to the large-scale coal mining [16]. Therefore, the rainfall in the soil and water conservation period and the coal mining period are approximately equal to the reduction of base flow caused by soil and water conservation.…”

Section: The Impact Of Coal Mining On Water Resourcesmentioning

confidence: 99%

Quantitative Analysis of the Influence of Coal Mining on the Underflow Zone of Rivers by Using Double Integro-differential Equations

Yuan

Zhang

Wang

et al. 2023

Applied Mathematics and Nonlinear Sciences

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The global ecological environment is fragile, and large-scale coal mining has accelerated the loss of water resources, but it is difficult to quantify its impact. Studies have found that large-scale coal mining has a particularly large impact on the underflow zone of rivers, but blind mining affects environmental damage and loses the water volume of the river. The lack of a compensation mechanism for water damage caused by coal mining often exacerbates the province’s fragile water environment. This paper analyzes the prediction of the impact of coal mining on the underflow zone of the river. First of all, determine the mining area of the mine and collect and collect data. Then, the lost water volume was calculated as a predicted score using the double integro-differential equation. Finally, the GA-BiLSTM model is proposed to predict the lost water capacity. The experimental results show that the mean absolute error (MAE), root mean square (RMSE), and prediction pass rate are 11.78/%, 24.87/%, and 92/%, respectively, and the average relative error is only 9.98%. Compared with BP, SVM, LSTM, Bi-LSTM neural network model has better prediction accuracy. The experimental results also show that the model has good reliability and practicability, which can provide a new idea and method for the new analysis of the impact of coal mining on the underflow zone of the river.

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Section: The Impact Of Coal Mining On Water Resourcesmentioning

confidence: 99%

Quantitative Analysis of the Influence of Coal Mining on the Underflow Zone of Rivers by Using Double Integro-differential Equations

Yuan

Zhang

Wang

et al. 2023

Applied Mathematics and Nonlinear Sciences

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A hybrid non‐linear voltage controller design for DC–DC buck converters

Alam,

Roy,

Ghosh

et al. 2023

The Journal of Engineering

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This paper presents a hybrid non‐linear voltage controller design approach for DC–DC buck converters where the hybridization is done by combining two non‐linear techniques: backstepping and sliding mode. In the proposed hybrid framework, the backstepping approach ensures the tracking of all states, while the sliding mode scheme with an enhanced reaching law is utilized for the finite‐time convergence of voltage and current in DC–DC buck converters. In this way, the proposed hybrid scheme offers two‐degree freedom instead of one‐degree in existing nonlinear approaches for controlling DC–DC converters, while guaranteeing the time‐time convergence that is not achievable with existing methods in the same application. In this work, the sliding surface is modified to capture changes in the load and supply voltage and the Lyapunov stability theory is used to assess the overall stability of DC–DC buck converters with the proposed controller. Simulation and experimental validations are conducted for evaluating the performance of this hybrid scheme, including a comparative study of an existing sliding mode controller in which the sliding surface is selected as the fast terminal one while avoiding the non‐singularity and incorporating the adaptation law.

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Stabilization of isolated hybrid microgrids with electric vehicle-based energy storage systems using a fractional order proportional-integral-derivative control

Xiang,

Mao,

Liu

et al. 2023

International Journal of Green Energy

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A Double-Integral Sliding Mode-Based Hybrid Control for a Single-Input-Multiple-Output Buck Converter

Cited by 15 publications

References 22 publications

Quantitative Analysis of the Influence of Coal Mining on the Underflow Zone of Rivers by Using Double Integro-differential Equations

Quantitative Analysis of the Influence of Coal Mining on the Underflow Zone of Rivers by Using Double Integro-differential Equations

A hybrid non‐linear voltage controller design for DC–DC buck converters

Stabilization of isolated hybrid microgrids with electric vehicle-based energy storage systems using a fractional order proportional-integral-derivative control

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