Boundary sliding mode controller design for supercavitating vehicles

Zhao, Xinhua; Ye, Xiufen; Yi, Lin; Liu, Xiaoping; Liu, Shichao

doi:10.1109/icma.2017.8015995

Cited by 2 publications

(2 citation statements)

References 10 publications

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“…ASMC has been shown to be effective in controlling UAV in various scenarios. In one study [146], an ASMC approach was used for the position and attitude control of a UAV. The results showed improved control performance compared to traditional linear control methods.…”

Section: Adaptive Sliding Mode Control (Asmc)mentioning

confidence: 99%

Survey of Advanced Nonlinear Control Strategies for UAVs: Integration of Sensors and Hybrid Techniques

Abbas,

Zafar

et al. 2024

Sensors

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This survey paper explores advanced nonlinear control strategies for Unmanned Aerial Vehicles (UAVs), including systems such as the Twin Rotor MIMO system (TRMS) and quadrotors. UAVs, with their high nonlinearity and significant coupling effects, serve as crucial benchmarks for testing control algorithms. Integration of sophisticated sensors enhances UAV versatility, making traditional linear control techniques less effective. Advanced nonlinear strategies, including sensor-based adaptive controls and AI, are increasingly essential. Recent years have seen the development of diverse sliding surface-based, sensor-driven, and hybrid control strategies for UAVs, offering superior performance over linear methods. This paper reviews the significance of these strategies, emphasizing their role in addressing UAV complexities and outlining future research directions.

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Section: Adaptive Sliding Mode Control (Asmc)mentioning

confidence: 99%

Survey of Advanced Nonlinear Control Strategies for UAVs: Integration of Sensors and Hybrid Techniques

Abbas,

Zafar

et al. 2024

Sensors

View full text Add to dashboard Cite

show abstract

“…The study obtained the law of the influence of environmental factors, such as density mutations and seabed obstacles, on the development of supercavitation morphology. 11 conducted a numerical study on the interface effect of supercavity flow based on the Lyapunov stability method. 12 conducted experiments and numerical studies on continuous launching of projectiles based on the finite volume method of the N-S equation.…”

Section: Introductionmentioning

confidence: 99%

Numerical research of lateral flow influence on supercavitating flow

2022

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In this paper, a recompiled multiphase flow solver, which introduced the lateral flow source into the code, is developed to investigate the effect of the lateral flow on the supercavitation phenomenon. The evolution of the supercavity profile and the resistance of the vehicle under different lateral flow speeds are studied. The results show that the recompiled solver can calculate the effect of the lateral flow on the supercavitation, and the influence of lateral flow on the supercavity is related to the speed of the counter flow. Under the same lateral flow velocity, the higher the convection velocity, the weaker the influence of lateral flow on the cavity profile and resistance. When the lateral flow velocity is less than 8% of the convection velocity, the effect of the lateral flow on the supercavity size and the resistance of the vehicle can be ignored. As the lateral flow strengthens, the supercavity will deform and even break and the resistance of the vehicle increases significantly. After removing the source of the lateral flow, the cavity re-grows again and forms a huge supercavity, which is much larger than the original one before introducing the velocity source. Then, the cavity gradually shrinks and reaches a new steady state.

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Boundary sliding mode controller design for supercavitating vehicles

Cited by 2 publications

References 10 publications

Survey of Advanced Nonlinear Control Strategies for UAVs: Integration of Sensors and Hybrid Techniques

Survey of Advanced Nonlinear Control Strategies for UAVs: Integration of Sensors and Hybrid Techniques

Numerical research of lateral flow influence on supercavitating flow

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