Adaptive sliding mode fault-tolerant control for hypersonic vehicle based on radial basis function neural networks

Abstract

In this article, an adaptive sliding mode fault-tolerant control scheme is proposed to address the problem of robust and fast attitude tracking for a hypersonic vehicle in the presence of unknown external disturbances, additive fault and partial loss of effectiveness fault. Firstly, the healthy and faulty models of the vehicle are given. Then, a radial basis function neural network is designed to estimate the unknown additive fault, and the adaptive method is applied to deal with the unknown partial loss of effectiveness fault. Combined with the sliding mode control theory, the fault-tolerant controllers are designed for the outer and inner loops of the faulty system, respectively. The adaptive laws are designed to update parameter estimates to implement the inner-loop controller. Closed-loop stability is analysed and simulation results verify the effectiveness of the proposed fault-tolerant control scheme.

Chebyshev Neural Network-Based Adaptive Nonsingular Terminal Sliding Mode Control for Hypersonic Vehicles

“…Zhu et al [23] proposed a robust adaptive control strategy for a hypersonic flight vehicle subject to stochastic disturbances and dynamic uncertainties based on neural network approximation. In [24], radial basis function neural networks are utilized to estimate the unknown additive faults and external disturbances of the hypersonic vehicle. Chebyshev neural network (CNN) is a kind of functional link network whose input is generated based on a subset of orthogonal Chebyshev polynomials.…”

Sensor cascading fault estimation and control for hypersonic flight vehicles based on a multidimensional generalized observer

“…A flight control system of the HFV will inevitably be subject to all kinds of faults, which may be caused by actuators, sensors, or system components . Therefore, fault diagnosis and fault‐tolerant control (FTC) play an important role in the flight control system designed to satisfy the security and reliability requirements of HFVs . Controller and observer designs are proposed for the longitudinal model of an air‐breathing hypersonic vehicle subject to actuator faults and limited measurements of the states .…”

“…Controller and observer designs are proposed for the longitudinal model of an air‐breathing hypersonic vehicle subject to actuator faults and limited measurements of the states . An adaptive sliding mode FTC scheme is designed to address the problem of robust and rapid attitude tracking for a hypersonic vehicle . An adaptive FTC scheme is developed for HFVs with input constraints and unknown inertial and aerodynamic parameters …”

“…1 Therefore, fault diagnosis and fault-tolerant control (FTC) play an important role in the flight control system designed to satisfy the security and reliability requirements of HFVs. [2][3][4][5][6][7][8][9][10][11][12][13][14] Controller and observer designs are proposed for the longitudinal model of an air-breathing hypersonic vehicle subject to actuator faults and limited measurements of the states. 2 An adaptive sliding mode FTC scheme is designed to address the problem of robust and rapid attitude tracking for a hypersonic vehicle.…”

“…2 An adaptive sliding mode FTC scheme is designed to address the problem of robust and rapid attitude tracking for a hypersonic vehicle. 3 An adaptive FTC scheme is developed for HFVs with input constraints and unknown inertial and aerodynamic parameters. 4 Various sensors have been used as the main device for measuring the output signal of the flight control system, which will likely fail in unfavorable environments.…”