Firdaus et al., 2019 - Google Patents
Real-time embedded system of super twisting-based integral sliding mode control for quadcopter UAVFirdaus et al., 2019
View PDF- Document ID
- 16952343155735266024
- Author
- Firdaus A
- Tokhi M
- Publication year
- Publication venue
- 2019 2nd International Conference on Applied Engineering (ICAE)
External Links
Snippet
This paper presents the development of set-point weighting-based integral super-twisting sliding mode control (SISTASMC) with full-order state observers to overcome the control challenges encountered with nonlinear and underactuated systems. Quadcopter UAV form …
- 230000000052 comparative effect 0 abstract description 6
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
- 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
- G05D1/08—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
- G05B13/0265—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
- 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
- G05B13/0205—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system
- G05B13/024—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion electric not using a model or a simulator of the controlled system 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
- 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
- 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
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Barghandan et al. | Improved adaptive fuzzy sliding mode controller for robust fault tolerant of a quadrotor | |
| CN106444799B (en) | Four-rotor unmanned aerial vehicle control method based on fuzzy extended state observer and self-adaptive sliding mode | |
| US9296474B1 (en) | Control systems with normalized and covariance adaptation by optimal control modification | |
| CN110908281A (en) | A finite-time convergence reinforcement learning control method for unmanned helicopter attitude motion | |
| Qi et al. | Consensus vibration control for large flexible structures of spacecraft with modified positive position feedback control | |
| Wang et al. | PID-like model free adaptive control with discrete extended state observer and its application on an unmanned helicopter | |
| Kokunko et al. | Synthesis of a tracking system with restrictions on UAV state variables | |
| Sodhi et al. | Adaptive backstepping control for a twin rotor MIMO system | |
| Kumar et al. | A direct adaptive neural command controller design for an unstable helicopter | |
| Firdaus et al. | Real-time embedded system of super twisting-based integral sliding mode control for quadcopter UAV | |
| Toha et al. | Dynamic nonlinear inverse-model based control of a twin rotor system using adaptive neuro-fuzzy inference system | |
| CN110134135B (en) | Control method of quadrotor aircraft based on improved MPC-PID | |
| Balajiwale et al. | Study of performance of ADRC for longitudinal control of MAV | |
| Andrievsky et al. | Simple adaptive control of aircraft roll angle, suppressing the wing rock oscillations. | |
| Nguyen et al. | Hybrid intelligent flight control with adaptive learning parameter estimation | |
| Emami et al. | Nonlinear fault-tolerant trajectory tracking control of a quadrotor UAV | |
| Taylor | Analysis of a pilot-airplane lateral instability experienced with the X-15 airplane | |
| Popov et al. | Stabilization of PVTOL aircraft by supertwisting algorithms | |
| Nguyen | Robust optimal adaptive control method with large adaptive gain | |
| Firdaus et al. | Design of set-point weighting-based dynamic integral sliding mode control with nonlinear full-order state observers for quadcopter UAVs | |
| Do Kim et al. | Auto-Tuning altitude controller with steepest gradient descent algorithm for quadrotors | |
| Butler et al. | Takagi-sugeno fuzzy model-based flight control and failure stabilization | |
| Demirli et al. | L1 adaptive controller design for a tail fin controlled fixed wing unmanned aerial vehicle | |
| Rekabi et al. | Adaptive-Nonlinear H∞ hierarchical algorithm for quadrotor position tracking | |
| Rezazadeh Movahhed et al. | A novel optimized sliding surface design for robust tracking control of rudderless flying-wing UAVs |