Longitudinal maneuvering motions of the supercavitating vehicle

Zou, Wang; Wang, Benlong

doi:10.1016/j.euromechflu.2019.12.008

Cited by 15 publications

(2 citation statements)

References 21 publications

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“…L. Y. et al [8] analyzed nonlinear physical phenomena for supercavitating vehicles under different cavitation numbers, and proposed a bifurcating control method to delay the Hopf bifurcation by adjusting the fin deflection angle, thus achieving stable movement. W. Z. et al [9] used a maneuvering supercavity model with a cavitation number correction algorithm, proposing an exact linearizing feedback controller and a linear quadratic regulator for simulating the level flight, climbing, and diving of the vehicle. H. Y. et al [10] established a linear parameter-varying (LPV) time-delay model for a supercavitating vehicle by analyzing the time-delay characteristics of the planing force, and designed a predictive controller based on the model.…”

Section: Introductionmentioning

confidence: 99%

Event-Triggered Supercavitating Vehicle Terminal Sliding Mode Control Based on Non-Recursive Observation

Zhang,

Wang,

Wang

et al. 2024

JMSE

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Supercavitating vehicles present significant issues in controller design due to their multiphase flow-coupling characteristics. This study addresses force analysis and the construction of a 6-degree-of-freedom mathematical model for a supercavitating vehicle. A terminal sliding mode control law is intended to guarantee the quick tracking of the command signal for high-precision attitude control. To drastically lower the frequency of actuation and communication, a mechanism to trigger events is also introduced into the control link. A disturbance observer, which estimates system uncertainty using a non-recursive differentiator, improves the robustness of the system. The Lyapunov approach is used to prove that the system is stable. Numerical simulation results validate that the proposed method enhances control accuracy and robustness. The event-trigger mechanism reduces the execution frequency to 18.59%, effectively reducing the communication burden.

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Section: Introductionmentioning

confidence: 99%

Event-Triggered Supercavitating Vehicle Terminal Sliding Mode Control Based on Non-Recursive Observation

Zhang,

Wang,

Wang

et al. 2024

JMSE

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“…The paper [9] generated a cavitation number to prevent the planing force by the ventilation controller and designed a depth controller based on PID to transform the desired depth into control inputs. The supercavity model considering the gravity effect was applied to the dynamic model of a supercavitating vehicle in the longitudinal plane, then the feedback linearizing control and linear quadratic regulator methods were introduced to control different longitudinal motions [10]. In literature [11], a tracking differentiator was implemented to smooth the depth command and pitch command generated by the proportional control.…”

Section: Introductionmentioning

confidence: 99%

Research on Lateral Maneuverability of a Supercavitating Vehicle Based on RBFNN Adaptive Sliding Mode Control with Rolling Restriction and Planing Force Avoidance

Yang,

Lu,

2023

Machines

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This paper addresses the lateral motion control of a supercavitating vehicle and studies its ability to maneuver. According to the unique hydrodynamic characteristics of the supercavitating vehicle, highly coupled nonlinear 6-degree-of-freedom (DOF) dynamic and kinematic models are constructed considering time-delay effects. A control scheme utilizing radial basis function (RBF) neural-network-(NN)-based adaptive sliding with planing force avoidance is proposed to simultaneously control the longitudinal stability and lateral motion of the supercavitating vehicle in the presence of external ocean-induced disturbances. The online estimation of nonlinear disturbances is conducted in real time by the designed NN and compensated for the dynamic control laws. The adaptive laws of the NN weights and control parameters are introduced to improve the performance of the NN. The least squares method is utilized to solve the actuator control efforts with rolling restriction in real-time online. Rigorous theoretical proofs based on the Lyapunov theory prove the globally asymptotic stability of the proposed controller. Finally, numerical simulations were performed to obtain maximum maneuverability and verify the effectiveness and robustness of the proposed control scheme.

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Motion characteristics simulations of supercavitating vehicle based on a three-dimensional cavity topology algorithm

Wang

Cao

et al. 2023

Applied Mathematical Modelling

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Longitudinal maneuvering motions of the supercavitating vehicle

Cited by 15 publications

References 21 publications

Event-Triggered Supercavitating Vehicle Terminal Sliding Mode Control Based on Non-Recursive Observation

Event-Triggered Supercavitating Vehicle Terminal Sliding Mode Control Based on Non-Recursive Observation

Research on Lateral Maneuverability of a Supercavitating Vehicle Based on RBFNN Adaptive Sliding Mode Control with Rolling Restriction and Planing Force Avoidance

Motion characteristics simulations of supercavitating vehicle based on a three-dimensional cavity topology algorithm

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