Large unmanned underwater vehicles can carry big payloads for varied missions and it is desirable for them to possess an upright orientation during payload release.Their attitude can hardly be maintained during and af...Large unmanned underwater vehicles can carry big payloads for varied missions and it is desirable for them to possess an upright orientation during payload release.Their attitude can hardly be maintained during and after the phase of payload release.Releasing a payload from the vehicle induces uncertainties not only in rigid-body parameters,e.g,the moment of inertia tensor due to the varying distribution of the masses on board the vehicle,but also in the hydrodynamic derivatives due to the vehicle’s varying geometric profile.A nonlinear attitude stabilizer that is robust to these time-varying model uncertainties is proposed in this paper.Stability is guaranteed via Lyapunov stability theory.The simulation results verify the effectiveness of the proposed approach.展开更多
The total disturbance estimated by the extended state observer(ESO)in active disturbance rejection controller(ADRC)is affected greatly by measurement noise when the control step is small in heading control of underwat...The total disturbance estimated by the extended state observer(ESO)in active disturbance rejection controller(ADRC)is affected greatly by measurement noise when the control step is small in heading control of underwater flight vehicles(UFVs).In order to prevent rudder from high-frequency chattering caused by measurement noise,a tracking-differentiator(TD)is integrated to the ESO to develop an improved ADRC scheme.The improved ADRC suppresses the impact of sensor noise.Both the results of simulations and tank tests show the effectiveness of improved ADRC based heading control.展开更多
A T-S fuzzy model with two rules is established to exactly describe the nonlinear uncertain heave dynamics of underwater vehicles with bounded heave speed.A single linear-matrix-inequality-based (LMI-based) state feed...A T-S fuzzy model with two rules is established to exactly describe the nonlinear uncertain heave dynamics of underwater vehicles with bounded heave speed.A single linear-matrix-inequality-based (LMI-based) state feedback controller is then synthesized to guarantee the global stability of the depth control system.Simulation results verify the effectiveness of the proposed approach in comparison with linear-quadratic regulator (LQR) method.Nonlinear disturbance observer is appended to the system when the underwater vehicles are affected by the gravity-buoyancy imbalance.The two-stage control method is effective to stabilize an uncertain system with both parameter uncertainties and external disturbances.展开更多
An improved nonsingular fast terminal sliding mode manifold based on scaled state error is proposed in this paper.It can significantly accelerate the convergence rate of the state error which is initially far from the...An improved nonsingular fast terminal sliding mode manifold based on scaled state error is proposed in this paper.It can significantly accelerate the convergence rate of the state error which is initially far from the origin and achieve the fixed-time convergence.In addition,conventional double power term based reaching law is improved to ensure the convergence of sliding state in the presence of disturbances.The proposed approach is applied to the hovering control of an unmanned underwater vehicle.The controller exhibits both fast convergence and strong robustness to model uncertainty and external disturbances.展开更多
A two-stage model-independent hovering control scheme for underwater vehicles,which are subject to unknown yet constant external disturbance,to eliminate steady-state depth error is proposed.Proportionalderivative(PD)...A two-stage model-independent hovering control scheme for underwater vehicles,which are subject to unknown yet constant external disturbance,to eliminate steady-state depth error is proposed.Proportionalderivative(PD)state feedback control law is adopted as the ballast mass planner at the first stage for the vehicle to reach both hydrostatic balance and a steady depth.The residual depth error is then removed by an additional disturbance rejection control at the second stage.Global asymptotic stability of the whole system is guaranteed via Lyapunov approach.The effectiveness of the proposed scheme is illustrated by the simulation of diving control of an underwater vehicle with hydraulic variable ballast system.展开更多
文摘Large unmanned underwater vehicles can carry big payloads for varied missions and it is desirable for them to possess an upright orientation during payload release.Their attitude can hardly be maintained during and after the phase of payload release.Releasing a payload from the vehicle induces uncertainties not only in rigid-body parameters,e.g,the moment of inertia tensor due to the varying distribution of the masses on board the vehicle,but also in the hydrodynamic derivatives due to the vehicle’s varying geometric profile.A nonlinear attitude stabilizer that is robust to these time-varying model uncertainties is proposed in this paper.Stability is guaranteed via Lyapunov stability theory.The simulation results verify the effectiveness of the proposed approach.
文摘The total disturbance estimated by the extended state observer(ESO)in active disturbance rejection controller(ADRC)is affected greatly by measurement noise when the control step is small in heading control of underwater flight vehicles(UFVs).In order to prevent rudder from high-frequency chattering caused by measurement noise,a tracking-differentiator(TD)is integrated to the ESO to develop an improved ADRC scheme.The improved ADRC suppresses the impact of sensor noise.Both the results of simulations and tank tests show the effectiveness of improved ADRC based heading control.
文摘A T-S fuzzy model with two rules is established to exactly describe the nonlinear uncertain heave dynamics of underwater vehicles with bounded heave speed.A single linear-matrix-inequality-based (LMI-based) state feedback controller is then synthesized to guarantee the global stability of the depth control system.Simulation results verify the effectiveness of the proposed approach in comparison with linear-quadratic regulator (LQR) method.Nonlinear disturbance observer is appended to the system when the underwater vehicles are affected by the gravity-buoyancy imbalance.The two-stage control method is effective to stabilize an uncertain system with both parameter uncertainties and external disturbances.
文摘An improved nonsingular fast terminal sliding mode manifold based on scaled state error is proposed in this paper.It can significantly accelerate the convergence rate of the state error which is initially far from the origin and achieve the fixed-time convergence.In addition,conventional double power term based reaching law is improved to ensure the convergence of sliding state in the presence of disturbances.The proposed approach is applied to the hovering control of an unmanned underwater vehicle.The controller exhibits both fast convergence and strong robustness to model uncertainty and external disturbances.
文摘A two-stage model-independent hovering control scheme for underwater vehicles,which are subject to unknown yet constant external disturbance,to eliminate steady-state depth error is proposed.Proportionalderivative(PD)state feedback control law is adopted as the ballast mass planner at the first stage for the vehicle to reach both hydrostatic balance and a steady depth.The residual depth error is then removed by an additional disturbance rejection control at the second stage.Global asymptotic stability of the whole system is guaranteed via Lyapunov approach.The effectiveness of the proposed scheme is illustrated by the simulation of diving control of an underwater vehicle with hydraulic variable ballast system.
