[go: up one dir, main page]
More Web Proxy on the site http://driver.im/

Zou et al., 2023 - Google Patents

Adaptive neural network sliding mode control of a nonlinear two‐degrees‐of‐freedom helicopter system

Zou et al., 2023

Document ID
16567360661848623911
Author
Zou T
Wu H
Sun W
Zhao Z
Publication year
Publication venue
Asian Journal of Control

External Links

Snippet

The helicopter can play an important role in military and civil applications owing to its super maneuvering ability, which is closely related to its control system. To improve control performance, this study presents an adaptive sliding mode control strategy merging an …
Continue reading at onlinelibrary.wiley.com (other versions)

Classifications

    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B2219/00—Program-control systems
    • G05B2219/30—Nc systems
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B19/00—Programme-control systems
    • G05B19/02—Programme-control systems electric
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05D—SYSTEMS FOR CONTROLLING OR REGULATING NON-ELECTRIC VARIABLES
    • G05D1/00—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot
    • G05D1/08—Control of attitude, i.e. control of roll, pitch, or yaw
    • G05D1/0808—Control of attitude, i.e. control of roll, pitch, or yaw specially adapted for aircraft
    • G05D1/0816—Control of attitude, i.e. control of roll, pitch, or yaw specially adapted for aircraft to ensure stability
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
    • G05B13/02—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B17/00—Systems involving the use of models or simulators of said systems
    • G05B17/02—Systems involving the use of models or simulators of said systems electric
    • G—PHYSICS
    • G05—CONTROLLING; REGULATING
    • G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
    • G05B15/00—Systems controlled by a computer
    • G05B15/02—Systems controlled by a computer electric

Similar Documents

Publication Publication Date Title
Lin et al. Event-based finite-time neural control for human-in-the-loop UAV attitude systems
Hua et al. Tracking differentiator and extended state observer-based nonsingular fast terminal sliding mode attitude control for a quadrotor
Liu et al. Fixed-time disturbance observer-based robust fault-tolerant tracking control for uncertain quadrotor UAV subject to input delay
Glida et al. Optimal model-free backstepping control for a quadrotor helicopter
Zou et al. Adaptive neural network sliding mode control of a nonlinear two‐degrees‐of‐freedom helicopter system
He et al. Vibration control of a constrained two-link flexible robotic manipulator with fixed-time convergence
Yan et al. Extended state observer‐based sliding mode fault‐tolerant control for unmanned autonomous helicopter with wind gusts
Dong et al. Adaptive disturbance observer‐based finite‐time continuous fault‐tolerant control for reentry RLV
Jin et al. Robust adaptive general formation control of a class of networked quadrotor aircraft
Cong et al. Formation control for multiquadrotor aircraft: Connectivity preserving and collision avoidance
Li et al. Distributed finite-time cooperative control for quadrotor formation
Norton et al. Adaptive fuzzy multi‐surface sliding control of multiple‐input and multiple‐output autonomous flight systems
Chen et al. Model reference resilient control for the helicopter with time‐varying disturbance
El Houm et al. Optimal new sliding mode controller combined with modified supertwisting algorithm for a perturbed quadrotor UAV
Liu et al. Fixed-time anti-saturation compensators based impedance control with finite-time convergence for a free-flying flexible-joint space robot
Basri et al. Simulation of backstepping-based nonlinear control for quadrotor helicopter
Shauqee et al. Quadrotor Controller Design Techniques and Applications Review.
Zheng et al. Trajectory control and vibration suppression of rigid‐flexible parallel robot based on singular perturbation method
Zhang et al. A distributed adaptive mixed self-/event-triggered formation control approach for multiple stratospheric airships with relative state constraints and input delay
Ding et al. Fault‐tolerant control of an aerial manipulator with guaranteed tracking performance
Wan et al. Adaptive sliding mode tracking control for unmanned autonomous helicopters based on neural networks
Ahmed et al. Adaptive output-feedback robust active disturbance rejection control for uncertain quadrotor with unknown disturbances
Abro et al. Review of hybrid control designs for underactuated quadrotor with unmodelled dynamic factors
Fang et al. Multivariable super twisting based robust trajectory tracking control for small unmanned helicopter
Kong et al. Observer-based fuzzy tracking control for an unmanned aerial vehicle with communication constraints