Design a novel digital sliding mode predictive control for buck converter

Deylamani, Mahnaz Janipoor; Amiri, Parviz; Refan, Mohammad Hossein

doi:10.1080/00207217.2021.1908626

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Application In Energy Systems1

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2022

2024

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Cited by 2 publications

(1 citation statement)

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“…The SMPC method is applied in energy management system of microgrids, in which grid-connected and islanded operation modes are controlled by SMC, and MPC generates power reference for the energy storage systems [137]. The method has also been used to reduce the effect of unexpected disturbances such as the terminal DC-link voltage step and the load variation [138], [139], and it is also employed for synchronous DC-DC buck converter to further reduce the chattering phenomenon, steady-state error, overshoot and undershoot [140].…”

Section: Application In Energy Systemsmentioning

confidence: 99%

Sliding mode predictive control: A survey

Xiao

Zhao

Gao

et al. 2022

Annual Reviews in Control

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Section: Application In Energy Systemsmentioning

confidence: 99%

Sliding mode predictive control: A survey

Xiao

Zhao

Gao

et al. 2022

Annual Reviews in Control

View full text Add to dashboard Cite

Discrete‐Time Integral Fast Terminal Sliding Mode Predictive Control for Dynamic Positioning Ships With Lumped Uncertainties and Input Constraints

Deng,

Yang,

Ding

et al. 2024

Intl J Robust & Nonlinear

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This paper proposes a robust discrete‐time integral fast terminal sliding mode predictive control (DIFTSMPC) scheme for DP ship trajectory tracking under the consideration of unmodeled dynamics, environmental disturbance, and input constraints. An improved single closed‐loop control strategy is designed by adopting the earth‐fixed reference velocity as the virtual velocity. The improved nonlinear PID discrete‐time integral fast terminal sliding mode is designed to achieve faster convergence. The unknown nonlinear dynamics and the environmental disturbance are combined as a lumped uncertainty term and estimated using the one‐step delay observation method. Then the corrected sliding model state is optimized to track the reference sliding reaching law in the prediction horizon. The lumped uncertainty estimation is integrated into the sliding mode prediction to guarantee the robustness of the control scheme. The stability of the proposed scheme has been verified. Comparison results demonstrate the effectiveness and superiority in chattering suppressing and constraint handling of the proposed scheme.

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Design a novel digital sliding mode predictive control for buck converter

Cited by 2 publications

References 43 publications

Sliding mode predictive control: A survey

Sliding mode predictive control: A survey

Discrete‐Time Integral Fast Terminal Sliding Mode Predictive Control for Dynamic Positioning Ships With Lumped Uncertainties and Input Constraints

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