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

Alqaisi et al., 2018 - Google Patents

Sliding mode controller and hierarchical perturbation compensator in a UAV quadrotor

Alqaisi et al., 2018

Document ID
3902256771275267061
Author
Alqaisi W
Brahmi B
Ghommam J
Saad M
Nerguizian V
Publication year
Publication venue
2018 IEEE International Conference on Computational Intelligence and Virtual Environments for Measurement Systems and Applications (CIVEMSA)

External Links

Snippet

The commercial small Unmanned Aerial Vehicle (UAV) quadrotor is very sensitive to perturbation due to its relatively small size and because of being an under-actuated system. In general, some non-modeled parameters, wind disturbance, sensor noise and …
Continue reading at ieeexplore.ieee.org (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
    • 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
    • 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
    • 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
    • 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
    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B25—HAND TOOLS; PORTABLE POWER-DRIVEN TOOLS; MANIPULATORS
    • B25J—MANIPULATORS; CHAMBERS PROVIDED WITH MANIPULATION DEVICES
    • B25J9/00—Programme-controlled manipulators
    • B25J9/16—Programme controls
    • B25J9/1628—Programme controls characterised by the control loop

Similar Documents

Publication Publication Date Title
Aboudonia et al. Active anti-disturbance control of a quadrotor unmanned aerial vehicle using the command-filtering backstepping approach
Derafa et al. Super twisting control algorithm for the attitude tracking of a four rotors UAV
CN106774373B (en) A kind of quadrotor drone finite time Attitude tracking control method
Zhao et al. Nonlinear robust sliding mode control of a quadrotor unmanned aerial vehicle based on immersion and invariance method
Bangura et al. Real-time model predictive control for quadrotors
Herrera et al. Sliding mode control: An approach to control a quadrotor
Ding et al. A tilting-rotor unmanned aerial vehicle for enhanced aerial locomotion and manipulation capabilities: Design, control, and applications
He et al. A simple attitude control of quadrotor helicopter based on Ziegler‐Nichols rules for tuning PD parameters
Tomić Evaluation of acceleration-based disturbance observation for multicopter control
Yang et al. A new kind of nonlinear disturbance observer for nonlinear systems with applications to cruise control of air-breathing hypersonic vehicles
Wu et al. Trajectory following control of UAVs with wind disturbance
Ouadine et al. UAV quadrotor fault detection and isolation using artificial neural network and Hammerstein-Wiener model
Stebler et al. Nonlinear output feedback tracking control of a quadrotor UAV in the presence of uncertainty
Moeini et al. Disturbance observer‐based nonlinear control of a quadrotor UAV
Pedro et al. Direct adaptive neural control of a quadrotor unmanned aerial vehicle
Alqaisi et al. Sliding mode controller and hierarchical perturbation compensator in a UAV quadrotor
Roy et al. Dynamic modeling and displacement control for differential flatness of quadrotor UAV slung-load system
Azid et al. Precise trajectory tracking of multi-rotor UAVs using wind disturbance rejection approach
Maqsood et al. Novel sensor fault detection and isolation for an unmanned aerial vehicle
Boss et al. Robust tracking of an unknown trajectory with a multi-rotor UAV: A high-gain observer approach
Anwar et al. Performance of non-linear observers for closed loop terminal sliding mode control of quadrotor UAV
Anwar et al. High gain and super-twisting sliding mode observers for the adaptive control of quadrotor UAV
Zeng et al. A generalized multivariable adaptive super-twisting control and observation for amphibious robot
Boss et al. In-flight actuator failure recovery of a hexrotor via multiple models and extended high-gain observers
Sheng et al. Multivariable MRAC for a quadrotor UAV with a non-diagonal interactor matrix