El Houm et al., 2020 - Google Patents
Optimal new sliding mode controller combined with modified supertwisting algorithm for a perturbed quadrotor UAVEl Houm et al., 2020
View PDF- Document ID
- 12677809420968789159
- Author
- El Houm Y
- Abbou A
- Labbadi M
- Cherkaoui M
- Publication year
- Publication venue
- International Journal of Aerospace Engineering
External Links
Snippet
This paper deals with the design of a novel modified supertwisting fast nonlinear sliding mode controller (MSTFNSMC) to stabilize a quadrotor system under time‐varying disturbances. The suggested control strategy is based on a modified supertwisting controller …
- 238000004422 calculation algorithm 0 title description 7
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
- 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
- G05B2219/00—Program-control systems
- G05B2219/30—Nc systems
-
- 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
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Labbadi et al. | Robust integral terminal sliding mode control for quadrotor UAV with external disturbances | |
Zhao et al. | Nonlinear robust sliding mode control of a quadrotor unmanned aerial vehicle based on immersion and invariance method | |
Zuo et al. | Adaptive trajectory tracking control of output constrained multi‐rotors systems | |
Chen et al. | A novel nonlinear resilient control for a quadrotor UAV via backstepping control and nonlinear disturbance observer | |
CN106774373B (en) | A kind of quadrotor drone finite time Attitude tracking control method | |
Zou | Nonlinear robust adaptive hierarchical sliding mode control approach for quadrotors | |
He et al. | A simple attitude control of quadrotor helicopter based on Ziegler‐Nichols rules for tuning PD parameters | |
Yan et al. | Extended state observer‐based sliding mode fault‐tolerant control for unmanned autonomous helicopter with wind gusts | |
Djamel et al. | Attitude optimal backstepping controller based quaternion for a UAV | |
El Houm et al. | Optimal new sliding mode controller combined with modified supertwisting algorithm for a perturbed quadrotor UAV | |
Yin et al. | Adaptive neural network sliding mode control for quad tilt rotor aircraft | |
Zou | Trajectory tracking controller for quadrotors without velocity and angular velocity measurements | |
Zou et al. | Adaptive neural network sliding mode control of a nonlinear two‐degrees‐of‐freedom helicopter system | |
Liu et al. | Robust command filtered adaptive backstepping control for a quadrotor aircraft | |
Mechali et al. | Robust finite‐time trajectory tracking control of quadrotor aircraft via terminal sliding mode‐based active antidisturbance approach: a PIL experiment | |
Huang et al. | Adaptive backstepping sliding mode control for quadrotor UAV | |
Huang et al. | Adaptive backstepping control for autonomous shipboard landing of a quadrotor with input saturation | |
Yang et al. | Anti‐swing control and trajectory planning of quadrotor suspended payload system with variable length cable | |
Gharib et al. | Full dynamics and control of a quadrotor using quantitative feedback theory | |
Hassani et al. | Robust Finite‐Time Tracking Control Based on Disturbance Observer for an Uncertain Quadrotor under External Disturbances | |
Alatorre et al. | Parameter estimation and control of an unmanned aircraft‐based transportation system for variable‐mass payloads | |
Ding et al. | Fault‐tolerant control of an aerial manipulator with guaranteed tracking performance | |
Jiao et al. | Fault tolerant control algorithm of hexarotor UAV | |
Cai et al. | FTESO-adaptive neural network based safety control for a quadrotor UAV under multiple disturbances: algorithm and experiments | |
Xu et al. | Control of a tilting hexacopter under wind disturbance |