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

Barbosa et al., 2018 - Google Patents

Fuzzy gain-scheduling applied for a very flexible aircraft

Barbosa et al., 2018

Document ID
12817155982925145087
Author
Barbosa G
Bertolin R
González P
Guimaraes Neto A
Silvestre F
Publication year
Publication venue
2018 AIAA Guidance, Navigation, and Control Conference

External Links

Snippet

The interest in the class of unmanned vehicle known as High Altitude Long Endurance aircraft has been growing in the latest years. In this paper, stability problems associated with flight control law design for flexible aircraft are evidenced. A fuzzy-based gainscheduling …
Continue reading at arc.aiaa.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
    • 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
    • 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
    • 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
    • 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
    • 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
    • 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

Similar Documents

Publication Publication Date Title
Koksal et al. Backstepping-based adaptive control of a quadrotor UAV with guaranteed tracking performance
Wang et al. Stability analysis for incremental nonlinear dynamic inversion control
Wang et al. Flexible aircraft gust load alleviation with incremental nonlinear dynamic inversion
Ghadiri et al. Adaptive super-twisting non-singular terminal sliding mode control for tracking of quadrotor with bounded disturbances
McFarland et al. Adaptive nonlinear control of agile antiair missiles using neural networks
Xu et al. Information fusion estimation-based path following control of quadrotor UAVs subjected to Gaussian random disturbance
Wiese et al. Adaptive control of a generic hypersonic vehicle
Denieul et al. Multicontrol surface optimization for blended wing–body under handling quality constraints
Li et al. Aggressive online control of a quadrotor via deep network representations of optimality principles
Zhang et al. Robust nonlinear close formation control of multiple fixed-wing aircraft
Wang et al. Nonlinear incremental control for flexible aircraft trajectory tracking and load alleviation
Yeo et al. Transition control of a tilt-rotor vtol uav
Ferrier et al. Active gust load alleviation of high-aspect ratio flexible wing aircraft
Suresh et al. An on-line learning neural controller for helicopters performing highly nonlinear maneuvers
Zheng et al. Adaptive fractional order non-singular terminal sliding mode anti-disturbance control for advanced layout carrier-based UAV
Barbosa et al. Fuzzy gain-scheduling applied for a very flexible aircraft
Ahmadian et al. A novel L1 adaptive-hybrid control with guaranteed stability for a class of uncertain nonlinear systems: A case study on SA330 Puma
Kuitche et al. Stabilisation, tracking and disturbance rejection control design for the UAS-S45 Bálaam
Chodnicki et al. Finite-time SDRE control of F16 aircraft dynamics
Shen et al. Robust backstepping control for maneuver aircraft based on event-triggered mechanism and nonlinear disturbance observer
Le-Phan et al. Inverse optimal-based attitude control for fixed-wing unmanned aerial vehicles
Shankar et al. Self-organizing radial basis function networks for adaptive flight control
Hamid et al. Pitch attitude control for an aircraft using linear quadratic integral control strategy
Jahandari et al. Design of Deterministic Self-Tuning Regulators for the Pitch Angle of an Aircraft
Duan et al. Maneuver Load Alleviation of Very Flexible Aircraft via Nonlinear Decoupling Control