Adaptive Neural Network-based Flight Vehicle Attitude Controller with Prescribed Performance Constraint

doi:10.12382/bgxb.2025.0401

Abstract

Abstract:

In the presence of model uncertainties for the rigid body dynamics of high-speed vehicle ，and considering actuator faults，an attitude control strategy based on an adaptive fault estimation approach and an attitude controller for finite-time prescribed performance control are proposed by considering the attitude preset performance control under the condition of actuator failure.By employing the dynamic finite-time prescribed performance control and time-varying barrier Lyapunov control techniques，both the transient attitude tracking error performance and the finite-time convergence of steady-state errors are ensured.Moreover，a radial basis function neural network is used to estimate the model uncertainties.In addition，a command filter is introduced to avoid the direct differentiation of complex virtual control quantities.An adaptive algorithm is also designed to estimate and compensate for the upper bounds of model approximation errors，external disturbances，and command filter estimation errors.To address actuator faults，an adaptive composite fault-tolerant control strategy is proposed to effectively compensate for the impact of actuator fault.The semi-global uniform boundedness of the closed-loop system is verified based on Lyapunov theory.Finally，the effectiveness of the proposed attitude controller is verified through numerical simulation.

Key words: high-speed vehicle attitude control, prescribed performance control, time-varying barrier Lyapunov function, model uncertainty, adaptive neural network, fault-tolerance control

WANG Wei, LIU Jiaqi, LIN Shiyao, ZHU Zejun, JI Yi. Adaptive Neural Network-based Flight Vehicle Attitude Controller with Prescribed Performance Constraint[J]. Acta Armamentarii, 2025, 46(S1): 250401-.

Figures/Tables 6

References 30

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变量	数值	变量	数值	变量	数值
S	0.42m²	J_z	5600kg·m²	${m}_{x}^{{\delta }_{x}}$	2.12
L	0.68m	${m}_{z}^{\alpha }$	-28.61	${c}_{y}^{\alpha }$	57.16
m	1200kg	${m}_{z}^{{\delta }_{z}}$	-27.92	${c}_{y}^{\beta }$	0.08
V	1000m/s	${m}_{y}^{\beta }$	-27.31	${c}_{y}^{{\delta }_{z}}$	5.74
ρ	1.1558kg/m³	${m}_{y}^{{\delta }_{y}}$	-26.57	${c}_{z}^{\alpha }$	-56.31
J_x	100kg·m²	${m}_{x}^{\alpha }$	0.46	${c}_{z}^{\beta }$	-5.62
J_y	5700kg·m²	${m}_{x}^{\beta }$	-0.37	${c}_{z}^{{\delta }_{z}}$	0.098

变量	数值	变量	数值	变量	数值
S	0.42m²	J_z	5600kg·m²	${m}_{x}^{{\delta }_{x}}$	2.12
L	0.68m	${m}_{z}^{\alpha }$	-28.61	${c}_{y}^{\alpha }$	57.16
m	1200kg	${m}_{z}^{{\delta }_{z}}$	-27.92	${c}_{y}^{\beta }$	0.08
V	1000m/s	${m}_{y}^{\beta }$	-27.31	${c}_{y}^{{\delta }_{z}}$	5.74
ρ	1.1558kg/m³	${m}_{y}^{{\delta }_{y}}$	-26.57	${c}_{z}^{\alpha }$	-56.31
J_x	100kg·m²	${m}_{x}^{\alpha }$	0.46	${c}_{z}^{\beta }$	-5.62
J_y	5700kg·m²	${m}_{x}^{\beta }$	-0.37	${c}_{z}^{{\delta }_{z}}$	0.098