Super-twisting sliding mode control approach for battery electric vehicles ultra-fast charger based on Vienna rectifier and three-phase interleaved DC/DC buck converter

Saadaoui, Achraf; Ouassaid, Mohammed

doi:10.1016/j.est.2024.110854

Cited by 3 publications

(3 citation statements)

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“…The immunity of the algorithm to interference and the arrival speed are directly affected by its gain. A previous study [18] introduced the proportional term in a traditional STA to improve the convergence trajectory of the system. However, when s < 1, i.e., ks is zero; the proportional term is only left with the original square root term, and the problem of low arrival speed remains.…”

Section: Construction Of Adaptive Quasi-super-twisting Sliding Mode C...mentioning

confidence: 99%

“…and   0 , then α, β, and k simultaneously satisfying condition (19) can cause (18) to converge to the origin in a finite time. The stability of the AQST-SMC algorithm was confirmed, as described in Appendix A.…”

Section: Construction Of Adaptive Quasi-super-twisting Sliding Mode C...mentioning

confidence: 99%

“…In recent years, ST-SMC has been widely used in power electronics and power drives; moreover, considerable research has focused on improving the traditional ST-SMC by combining it with other nonlinear control algorithms to optimize the dynamic and steadystate characteristics of the system. Saadaoui et al proposed an ST-SMC method for ultrafast chargers of pure electric vehicles for grid imbalance conditions, which can always achieve the lowest performance index compared with other nonlinear methods, demonstrating the fast response speed, strong robustness, and low steady-state error of ST-SMC [18]. Celik et al designed a Kalman filter using an ultra-twisted sliding-mode strategy, which ensures a shallow DC-link voltage ripple and achieves a fast dynamic response for a ba ery electric vehicle charger based on a three-phase two-level rectifier and a conventional DC/DC buck-boost converter [19].…”

Section: Introductionmentioning

confidence: 99%

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Adaptive Quasi-Super-Twisting Sliding Mode Control for Flexible Multistate Switch

Ma,

Wang,

Wang

et al. 2024

Energies

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The mathematical model of a flexible multistate switch (FMSS) exhibits nonlinear and strong coupling characteristics, whereas traditional power decoupling control makes it difficult to completely decouple the output power. The traditional proportional–integral control parameters are difficult to adjust, and their robustness and dynamic performance are poor, which affects the stability of the voltage of the power distribution network and feeder power. To address these problems, this study first converted the original system into a linear system via coordinate transformation using feedback-accurate linearization to decouple active and reactive currents. Thereafter, a super-twisting sliding mode control (ST-SMC) algorithm was introduced, and an adaptive quasi-super-twisting sliding mode control (AQST-SMC) algorithm comprising the quasi-sliding mode function and adaptive proportional term was proposed. An FMSS double closed-loop controller was designed to achieve improved vibration suppression and convergence speed. A three-port FMSS simulation model was developed using MATLAB/Simulink, and the simulation results show that the proposed control strategy enhances the robustness and dynamic performance of the system.

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Section: Construction Of Adaptive Quasi-super-twisting Sliding Mode C...mentioning

confidence: 99%

Section: Construction Of Adaptive Quasi-super-twisting Sliding Mode C...mentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Adaptive Quasi-Super-Twisting Sliding Mode Control for Flexible Multistate Switch

Ma,

Wang,

Wang

et al. 2024

Energies

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Harmonics mitigation in distribution networks comprising smart online electric vehicles chargers based on equal sharing algorithm

Draz,

Othman,

El-Fergany

2024

e-Prime - Advances in Electrical Engineering, Electronics and E

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Adaptive passive fault tolerant control of DFIG-based wind turbine using a self-tuning fractional integral sliding mode control

Bouguettah,

Messadi,

Kemih

et al. 2024

Front. Energy Res.

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Controlling variable wind speed turbine (VWT) system based on a doubly-fed induction generator (DFIG) is a challenging task. It requires a control law that is both adaptable and robust enough to handle the complex dynamics of the closed control loop system. Sliding mode control (SMC) is a robust control technology that has shown good performance when employed as a passive fault-tolerant control for wind energy systems. To improve the closed control loop of VWT based on DFIG with the aim of improving energy efficiency, even in presence of nonlinearities and a certain range of bounded parametric uncertainties, whether electrically or mechanically, an adaptive passive fault tolerant control (AP-FTC) based on a self-tuning fractional integral sliding mode control law (ST-FISMC) developed from a novel hyperbolic fractional surface is proposed in this paper. ST-FISMC introduces a nonlinear hyperbolic function into the sliding manifold for self-tuning adaptation of control law, while fractional integral of the control law smooths discontinuous sign function to reduce chattering. Additionally, this work introduces an adaptive observer, developed and proved based on a chosen Lyapunov function. This observer is designed to estimate variations in electrical parameters and stator flux, ensuring sensorless decoupling in indirect field- oriented control (SI-FOC) of DFIG. Lyapunov theory is also used to prove stability of states vectors in closed control loop with presence of bounded parameters uncertainties or external disturbances. Simulation results show that the proposed approach offers better performance in capturing optimal wind energy, as well as the ability to regulate active/reactive power and high resilience in presence of occurring parameter uncertainties or external disturbances.

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Super-twisting sliding mode control approach for battery electric vehicles ultra-fast charger based on Vienna rectifier and three-phase interleaved DC/DC buck converter

Cited by 3 publications

References 41 publications

Adaptive Quasi-Super-Twisting Sliding Mode Control for Flexible Multistate Switch

Adaptive Quasi-Super-Twisting Sliding Mode Control for Flexible Multistate Switch

Harmonics mitigation in distribution networks comprising smart online electric vehicles chargers based on equal sharing algorithm

Adaptive passive fault tolerant control of DFIG-based wind turbine using a self-tuning fractional integral sliding mode control

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