Wavelet Fuzzy Neural Supertwisting Sliding Mode Control of an Active Power Filter

Fei, Juntao; Zhang, Lei; Zhuo, Jie; Fang, Yunmei

doi:10.1109/tfuzz.2023.3272028

Cited by 15 publications

(5 citation statements)

References 36 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…For future work, although the sliding mode control strategy is robust to model uncertainty, there are still adverse effects. References [25], [26] and [27] combine neural networks with sliding mode control to effectively avoid the impact of model uncertainty. Therefore, inspired by the above articles, the next step is to combine the neural network with the method proposed in this paper, which should be applied in practice.…”

Section: Discussionmentioning

confidence: 99%

Barrier Function-Based Adaptive Super-Twisting Integral Terminal Sliding Mode Control for a Quad-Rotor UAV

Chen

2024

IEEE Access

View full text Add to dashboard Cite

In this paper, a novel barrier function-based super-twisting integral terminal sliding mode control algorithm is proposed for a quad-rotor unmanned aerial vehicle (UAV). The approach of employing an integral terminal sliding mode control strategy is adopted to achieve an equivalent control, while the switching control law is designed using the super-twisting algorithm. The barrier function is introduced as the gain of switching control law. The integral terminal sliding mode approach guarantees that the system's initial state lies on the sliding mode surface, while also enhancing the convergence rate of the system state through exponential acceleration. Super-twisting algorithm is introduced to reduce the sliding mode chattering. The barrier function can guarantee the convergence of output variables and induce a decrease in gain proportionate to the output variables. Finally, the numerical simulation results demonstrate the efficacy and exceptional performance of the proposed schemes.INDEX TERMS Integral terminal sliding mode control, Super-twisting algorithm, Barrier function, Quadrotor UAV.

show abstract

Section: Discussionmentioning

confidence: 99%

Barrier Function-Based Adaptive Super-Twisting Integral Terminal Sliding Mode Control for a Quad-Rotor UAV

Chen

2024

IEEE Access

View full text Add to dashboard Cite

show abstract

“…In the recently published paper [224], a wavelet fuzzy neural network controller combined with a supertwisting sliding mode controller is developed to control the harmonics through a SAPF. A wavelet layer is added to the structure of the fuzzy neural network to further improve the feature extraction ability.…”

Section: Frequency-domain Methodsmentioning

confidence: 99%

Shunt Active Power Filters in Three-Phase, Three-Wire Systems: A Topical Review

Popescu,

Bitoleanu,

Suru

et al. 2024

Energies

View full text Add to dashboard Cite

The increasingly extensive use of non-linear loads, mostly including static power converters, in large industry, commercial, and domestic applications, as well as the spread of renewable energy sources in distribution-generated units, make the use of the most efficient power quality improvement systems a current concern. The use of active power filters proved to be the most advanced solution with the best compensation performance for harmonics, reactive power, and load unbalance. Thus, issues related to improving the power quality through active power filters are very topical and addressed by many researchers. This paper presents a topical review on the shunt active power filters in three-phase, three-wire systems. The power circuit and configurations of shunt active filtering systems are considered, including the multilevel topologies and use of advanced power semiconductor devices with lower switching losses and higher switching frequencies. Several compensation strategies, reference current generation methods, current control techniques, and DC-voltage control are pointed out and discussed. The direct power control method is also discussed. New advanced control methods that have better performance than conventional ones and gained attention in the recent literature are highlighted. The current state of renewable energy sources integration with shunt active power filters is analyzed. Concerns regarding the optimum placement and sizing of the active power filters in a given power network to reduce the investment costs are also presented. Trends and future developments are discussed at the end of this paper. For a rigorous substantiation, more than 250 publications on this topic, most of them very recent, constitute the basis of bibliographic references and can assist readers who are interested to explore the subject in greater detail.

show abstract

“…This approach achieves high precision in current compensation and significantly reduces 'chattering'. In [47], a controller is developed with fuzzy neural networks, wavelets, and super-twisting sliding modes to improve power quality in an active power filter. The combination of these techniques allows precise control of currents and harmonics, validated through hardware experiments under nonlinear conditions and uncertainties.…”

Section: A Rapid Prototyping Designmentioning

confidence: 99%

Validation of Sliding Mode and Passivity Control in High-Power Quadratic Buck Converter Through Rapid Prototyping

Acosta-Rodríguez,

Martinez-Sarmiento,

Múñoz-Hernandez

et al. 2024

IEEE Access

View full text Add to dashboard Cite

This document introduces a rapid control prototyping (RCP) approach applied to the industrial sector using a non-linear Quadratic Buck Converter (QBC) DC-DC. The goal is to reduce manufacturing costs for materials and electronic devices while enhancing the power quality in the system's response. An experimental setup is utilized to create a functional model, converting 380 VDC to 48 VDC at a power level of 500 W. dSPACE CP1103 is employed to implement Model in the Loop (MIL), Software in the Loop (SIL), and Hardware in the Loop (HIL) simulations. Modern control techniques, including sliding mode control (SMC) and passivity-based control (PBC), are employed to devise a robust control scheme capable of maintaining stability in real-time (RT) and resisting disturbances. The document concludes with a performance analysis, PI, Cp, CpK, Z-score, and ITAE considering response time, signal accuracy, system stability, and resource utilization efficiency.INDEX TERMS dSPACE, hardware in the loop (HIL), Model in the loop (MIL), Passivity Control, performance indices, Quadratic Buck Converter (QBC), Rapid control prototyping (RCP), real-time (RT), sliding mode Control, software in the loop (SIL).

show abstract

Wavelet Fuzzy Neural Supertwisting Sliding Mode Control of an Active Power Filter

Cited by 15 publications

References 36 publications

Barrier Function-Based Adaptive Super-Twisting Integral Terminal Sliding Mode Control for a Quad-Rotor UAV

Barrier Function-Based Adaptive Super-Twisting Integral Terminal Sliding Mode Control for a Quad-Rotor UAV

Shunt Active Power Filters in Three-Phase, Three-Wire Systems: A Topical Review

Validation of Sliding Mode and Passivity Control in High-Power Quadratic Buck Converter Through Rapid Prototyping

Contact Info

Product

Resources

About