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

Cai et al., 2020 - Google Patents

Quadrotor waypoint-tracking control under exogenous disturbances based on equivalent-input-disturbance approach

Cai et al., 2020

Document ID
3635058714788095600
Author
Cai W
She J
Wu M
Ohyama Y
Publication year
Publication venue
Journal of the Franklin institute

External Links

Snippet

An equivalent-input-disturbance (EID)-based control scheme combining with proportional- integral-derivative (PID) controllers is presented for quadrotor waypoint-tracking control and disturbance suppression. Four EID estimators are applied to suppress exogenous …
Continue reading at www.sciencedirect.com (other versions)

Classifications

    • 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
    • G05D1/0825—Control of attitude, i.e. control of roll, pitch, or yaw specially adapted for aircraft to ensure stability using mathematical models
    • 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
    • G05D1/10—Simultaneous control of position or course in three dimensions
    • G05D1/101—Simultaneous control of position or course in three dimensions specially adapted for aircraft
    • 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
    • G05B13/04—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators
    • G05B13/042—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric involving the use of models or simulators in which a parameter or coefficient is automatically adjusted to optimise the performance
    • 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
    • G05D1/04—Control of altitude or depth
    • G05D1/042—Control of altitude or depth specially adapted for aircraft
    • G05D1/046—Control of altitude or depth specially adapted for aircraft to counteract a perturbation, e.g. gust of wind
    • 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
    • G05B13/0265—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion
    • G05B13/027—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric the criterion being a learning criterion using neural networks only
    • 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
    • G05B11/00—Automatic controllers
    • G05B11/01—Automatic controllers electric
    • G05B11/32—Automatic controllers electric with inputs from more than one sensing element; with outputs to more than one correcting element
    • 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
    • G05D1/0011—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement
    • G05D1/0044—Control of position, course or altitude of land, water, air, or space vehicles, e.g. automatic pilot associated with a remote control arrangement by providing the operator with a computer generated representation of the environment of the vehicle, e.g. virtual reality, maps
    • 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
    • G05D1/02—Control of position or course in two dimensions
    • G05D1/021—Control of position or course in two dimensions specially adapted to land vehicles
    • G05D1/0287—Control of position or course in two dimensions specially adapted to land vehicles involving a plurality of land vehicles, e.g. fleet or convoy travelling
    • G05D1/0291—Fleet control
    • G05D1/0295—Fleet control by at least one leading vehicle of the fleet

Similar Documents

Publication Publication Date Title
Xu Composite learning finite-time control with application to quadrotors
Cai et al. Quadrotor waypoint-tracking control under exogenous disturbances based on equivalent-input-disturbance approach
Liu et al. Adaptive sliding-mode-backstepping trajectory tracking control of underactuated airships
Ghadiri et al. Adaptive super-twisting non-singular terminal sliding mode control for tracking of quadrotor with bounded disturbances
Jia et al. Integral backstepping sliding mode control for quadrotor helicopter under external uncertain disturbances
Liu et al. Tracking control of small-scale helicopters using explicit nonlinear MPC augmented with disturbance observers
CN107807663B (en) Unmanned aerial vehicle formation maintaining control method based on self-adaptive control
Hua et al. Adaptive prescribed performance control of QUAVs with unknown time-varying payload and wind gust disturbance
Fu et al. Finite-time trajectory tracking control for a 12-rotor unmanned aerial vehicle with input saturation
Adams et al. Input-shaping and model-following control of a helicopter carrying a suspended load
Gong et al. Distributed adaptive fault-tolerant formation–containment control with prescribed performance for heterogeneous multiagent systems
Lhachemi et al. A structured H∞-based optimization approach for integrated plant and self-scheduled flight control system design
Jiang et al. Novel integral sliding mode control for small-scale unmanned helicopters
Su et al. Barrier Lyapunov function-based robust flight control for the ultra-low altitude airdrop under airflow disturbances
Liu et al. Observer-based linear parameter varying control design with unmeasurable varying parameters under sensor faults for quad-tilt rotor unmanned aerial vehicle
Razzaghian et al. Adaptive fuzzy sliding mode control for a model-scaled unmanned helicopter
Yeo et al. Transition control of a tilt-rotor vtol uav
Han et al. Robust I&I adaptive control for a class of quadrotors with disturbances
Zheng et al. Adaptive fractional order non-singular terminal sliding mode anti-disturbance control for advanced layout carrier-based UAV
Brahim et al. Finite Time Adaptive SMC for UAV Trajectory Tracking Under Unknown Disturbances and Actuators Constraints
CN107450313B (en) Unmanned aerial vehicle autopilot control system based on self-adaptive control
Safwat et al. Robust Nonlinear Flight Controller For Small Unmanned Aircraft Vehicle based on Incremental BackStepping
Hosseini et al. Model-referenced Adaptive Flight Controller based on Recurrent Neural Network for the Longitudinal Motion of Cessna Citation X
Saeed et al. Modeling and control of unmanned finless airship with robotic arms
Yañez-Badillo et al. Disturbance rejection in longitudinal control for the UAS-S4 ehecatl design