Adaptive Neural Control of a Hypersonic Vehicle in Discrete Time

Authors:
Bin Xu;Danwei Wang;Han Wang;Senqiang Zhu
Affiliations:
School of Automation, Northwestern Polytechnical University, Xi'an, China;School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore;School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore;School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore, Singapore
Venue:
Journal of Intelligent and Robotic Systems
Year:
2014

Citing 12
Cited 0

Controlling nonlinear time-varying systems via Euler approximations

Automatica (Journal of IFAC)
Neural Network Control of Nonlinear Discrete-Time Systems (Public Administration and Public Policy)

Neural Network Control of Nonlinear Discrete-Time Systems (Public Administration and Public Policy)
System Identification and Discrete Nonlinear Control of Miniature Helicopters Using Backstepping

Journal of Intelligent and Robotic Systems
Stabilization of sampled-data nonlinear systems via backstepping on their Euler approximate model

Automatica (Journal of IFAC)
Adversarial Ground Target Tracking Using UAVs with Input Constraints

Journal of Intelligent and Robotic Systems
Reinforcement Learning Neural-Network-Based Controller for Nonlinear Discrete-Time Systems With Input Constraints

IEEE Transactions on Systems, Man, and Cybernetics, Part B: Cybernetics
Brief Robot discrete adaptive control based on dynamic inversion using dynamical neural networks

Automatica (Journal of IFAC)
Ground Target Tracking Using UAV with Input Constraints

Journal of Intelligent and Robotic Systems
Real-time Stabilization of a Quadrotor UAV: Nonlinear Optimal and Suboptimal Control

Journal of Intelligent and Robotic Systems
Cooperative Control of Multiple UAVs for Source Seeking

Journal of Intelligent and Robotic Systems
Real-Time Attitude Stabilization of a Mini-UAV Quad-rotor Using Motor Speed Feedback

Journal of Intelligent and Robotic Systems
Control and Navigation Framework for Quadrotor Helicopters

Journal of Intelligent and Robotic Systems

Quantified Score

Hi-index	0.00

Visualization

Abstract

The article investigates the discrete-time controller for the longitudinal dynamics of the hypersonic flight vehicle with throttle setting constraint. Based on functional decomposition, the dynamics can be decomposed into the altitude subsystem and the velocity subsystem. Furthermore, the discrete model could be derived using the Euler expansion. For the velocity subsystem, the controller is proposed by estimating the system uncertainty and unknown control gain separately with neural networks. The auxiliary error signal is designed to compensate the effect of throttle setting constraint. For the altitude subsystem, the desired control input is approximated by neural network while the error feedback is synthesized for the design. The singularity problem is avoided. Stability analysis proves that the errors of all the signals in the system are uniformly ultimately bounded. Simulation results show the effectiveness of the proposed controller.