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Adaptive Neural Network Sliding Mode Control for Quad Tilt Rotor Aircraft
2017
Complexity
A novel neural network sliding mode control based on multicommunity bidirectional drive collaborative search algorithm (M-CBDCS) is proposed to design a flight controller for performing the attitude tracking ...
control of a quad tilt rotors aircraft (QTRA). ...
Consequently, a nonlinear attitude control system for QTRA aircraft with attitude angles defined as in Figure 2 is studied, where the QTRA is assumed to be a symmetric rigid body with constant mass, ...
doi:10.1155/2017/7104708
fatcat:sa6ynxhe6bdcplqw7gshzbv73i
Fault-Tolerant Active Disturbance Rejection Control of Plant Protection of Unmanned Aerial Vehicles Based on a Spatio-Temporal RBF Neural Network
2021
Applied Sciences
The control method is based on an active disturbance rejection controller (ADRC) and spatio-temporal radial basis function neural networks, which can be used to achieve the stable control of the system ...
Firstly, an active disturbance rejection controller with an optimized parameter design is designed for rthe obust control of a multi-rotor vehicle. ...
of Nanjing University of Aeronautics and Astronautics for equipment support. ...
doi:10.3390/app11094084
fatcat:jmakbl7ccvep7ehp6bxngmmziu
Neural-Networks Control for Hover to High-Speed-Level-Flight Transition of Ducted Fan UAV With Provable Stability
2020
IEEE Access
To achieve a steady transition from hover to high-speed flight, a neural-networks-based controller is proposed to learn the system dynamics and compensate for the tracking error between the aircraft dynamics ...
In prior, we derive the nonlinear system model of the aircraft full-envelope dynamics. Then, we propose a novel neural-networks-based control scheme and apply it on the underactuated aircraft system. ...
Then a novel neural-networks-based control scheme for nonlinear system is proposed. Based on these, a cascade flight control strategy is designed for the transition control of the ducted fan UAV. ...
doi:10.1109/access.2020.2997877
fatcat:yqxuunvi7rek5a4bwag5sxdfuq
Helicopter trimming and tracking control using direct neural dynamic programming
2003
IEEE Transactions on Neural Networks
Based on direct neural dynamic programming (DNDP), an approximate dynamic programming methodology, the control system is tailored to learn to maneuver a helicopter. ...
Though illustrated for helicopters, the DNDP control system framework should be applicable to general purpose tracking control. ...
Balakrishnan is one of the first to use a form of reinforcement learning (adaptive critic-based networks) for aircraft flight controls [16] . ...
doi:10.1109/tnn.2003.813839
pmid:18238071
fatcat:eocuoxredrbw3gd3ykbvhfkfli
Research on Trajectory Tracking Control of Inspection UAV Based on Real-Time Sensor Data
2022
Sensors
For the nonlinear and under-driven characteristics of the inspection UAV system, a double closed-loop control system which includes a position loop and attitude loop is designed. ...
A PX4 based experimental platform system is built and experimental tests were carried out under outdoor environment. ...
The four-rotor aircraft is regarded as a rigid body, and its body structure is completely uniform and symmetrical. 2. ...
doi:10.3390/s22103648
pmid:35632068
pmcid:PMC9148151
fatcat:u4ldqnbjg5cobngigfbgexwv3e
Research on RBV Control Strategy of Large Angle Maneuver
2014
Abstract and Applied Analysis
And then, using the neural network with single hidden layer approximates the dynamic inversion error for system model uncertainty. ...
To the high precision and reliable control problem of this vehicle, nonlinear flight control strategy based on neural network robust adaptive dynamic inversion is proposed. ...
The authors thank Professor CUI Naigang and CHEN Weidong for their help. Also the authors are indebted to CHEN Yangyang, TANG Xiaoping, and ZENG Kui for their continuous help. ...
doi:10.1155/2014/718125
fatcat:tc4mgsc475d4bh2wynll7eblwa
Design of Airport Obstacle-Free Zone Monitoring UAV System Based on Computer Vision
2020
Sensors
The system integrates the functions of identification, tracking, and expelling and is mainly used for low-cost control of balloon airborne objects and small aircrafts. ...
A design scheme for an airport obstacle-free zone monitoring UAV system based on computer vision is proposed. ...
Back-Stepping Attitude Controller Design Based on Disturbance Compensation The design and stability analysis of RBFNN and nonlinear disturbance observer in quadcopter trajectory tracking controller, as ...
doi:10.3390/s20092475
pmid:32349321
pmcid:PMC7250039
fatcat:4xjxwurphvbcxnxoj47b43jlvi
Adaptive Sliding Mode Robust Control Based on Multi-dimensional Taylor Network for Trajectory Tracking of Quadrotor UAV
2020
IET Control Theory & Applications
Different from the controllers based on neural networks, MTN contains only addition and multiplication, which greatly lessens the computational complexity and improves the real-time performance. ...
In this study, multi-dimensional Taylor network (MTN) inspired sliding mode robust control theory based adaptation laws are proposed to realise trajectory tracking for a quadrotor unmanned aerial vehicle ...
Treat the aircraft as a rigid body with completely symmetrical structure. 3. ...
doi:10.1049/iet-cta.2019.1058
fatcat:ruvllsp4pnfvtg324wc3iiiaza
Research on Intelligent Flight Software Robot Based on Internet of Things
2017
Global Journal of Technology and Optimization
In order to make life better and more convenient, the research of Internet of Things technology and application, focusing on research based on the Internet of intelligent flight spherical monitoring software ...
of things embedded technology, simulation technology, large data technology, cloud computing robot, robot autonomy technology and so on. ...
attitude of the aircraft and effectively control the aircraft under nonlinear and bounded disturbances The University of Texas at Dallas [59] . ...
doi:10.4172/2229-8711.1000221
fatcat:64nqg53s7zff7fxiklpdd4biwu
2010 Journal of Guidance, Control and Dynamics Subject Index
2010
Journal of Guidance Control and Dynamics
Based on Singular- Surface Cost Function
G10-013 Minimum-Time Reorientation of a Rigid Body
G10-086 Enhanced Collocation Method for Dynamical Systems Subject to Finite Set Control G10-148 Maximum Torque ...
Spacecraft Attitude Maneuver
G10-112_ Lyapunov-Based Exponential Tracking Control of a Hypersonic Aircraft with Aero- thermoelastic Effects
G10-031 Sign-Stability Concept of Ecology for Control Design ...
doi:10.2514/1.52477
fatcat:kvlsdca6hvhqfpvldlp2pwwon4
Adaptive Constrained Control for Uncertain Nonlinear Time-Delay System with Application to Unmanned Helicopter
2018
Mathematical Problems in Engineering
The neural network and DOB (disturbance observer) are designed to tackle the uncertainties and external disturbance, and prescribed performance function is constructed for the output prescribed performance ...
This paper investigates a class of nonlinear time-delayed systems with output prescribed performance constraint. ...
Acknowledgments This article was supported by the National Natural Science Foundation of China (nos. 61573184, 61374212), the Fundamental Research Funds for the Central Universities (no. ...
doi:10.1155/2018/8410360
fatcat:gnkojsn7wjeibdlh3etynp27py
Adaptive Sliding Mode Controller Design For Attitude Small UAV
2015
IAES International Journal of Robotics and Automation
In this paper, an adaptive sliding mode controller (ASMC) is integrated to design the attitude control system for an inner loop fixed wing UAV. ...
The synthesis of the adaptation laws is based on the positivity and Lyapunov design principle. Navigation outer loop parameters are regulated via PID controllers. ...
Attitude of a rigid body moving in space is expressed in Euler angles (roll-pitchyaw), based on a body frame as shown in Fig. 1 . ...
doi:10.11591/ijra.v4i3.pp219-229
fatcat:iizluzbpa5dxto7uw6xijww4ae
Control Strategies and Novel Techniques for Autonomous Rotorcraft Unmanned Aerial Vehicles: A Review
2020
IEEE Access
Starting with a brief background on the dual-rotor helicopter and a quadcopter, the full detailed mathematical dynamic model of each system is derived based on the Euler-Lagrange and Newton-Euler methods ...
Then, a state-of-the-art review of the diverse control strategies for controlling the rotorcraft systems with conceivable solutions when the systems are subjected to the different impediments is demonstrated ...
[68] demonstrated, experimentally the efficiency of using an adaptive neural network based inverse dynamic control (IDC) for a helicopter system. ...
doi:10.1109/access.2020.3031326
fatcat:aae7qfcwvnfr3bwqalbaqggbs4
Novel Method for Identification of Aircraft Trajectories in Three-Dimensional Space
2000
Journal of Guidance Control and Dynamics
in an aerodynamically dissipating environment (i.c., it must be seen as the coupled Hamiltonian system of the moving flat and symmetrical rigid body with its own propulsion and adjacent air flow generated ...
of the International Conference on Artificial Neural Networks, Springer-Verlag, London, 1993, p. 475
Korgul, A., “Time Delay Neural Network for Target-Intercept Problem Solving, Proceedings of the Sth ...
doi:10.2514/2.4670
fatcat:u4xhcgwsxnfcrlemhtcm6nk7q4
Flight Dynamics and Hybrid Adaptive Control of Damaged Aircraft
2008
Journal of Guidance Control and Dynamics
Assuming a flat-earth model for a rigid body aircraft, the force vector in the body-fixed reference frame of the aircraft is
1 = . ...
Learning rules for adaptive systems based on the Lyapunov method must be guaranteed to be globally stable under all flight conditions with exogenous disturbances such as turbulence and wind shear. ...
doi:10.2514/1.28142
fatcat:yrikfjjc4vhc5ltl3jjgvy2y54
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