Abstract
This study investigates the hybrid fault-tolerant control (FTC) for hypersonic flight vehicles (HFVs) under the rudder structure fault (RSF) and rudder angle deviation fault (RADF). The nonlinear equations of the model are linearised by fuzzy logic, the external nonlinear disturbance is approximated by radial basis functions, which transforms the classical HFV into a linear system. In the case of only a RSF, the state feedback system can passively shield the fault using a compensation function and design a threshold to create conditions for RADF detection. During the RSF and RADF compound faults, the system with an adaptive observer implements angle deviation fault isolation/estimation and shields the structural fault. By using the estimation results, active-passive hybrid compensation completes passive FTC of the structural fault and active FTC of the angle deviation fault. The adaptive learning rates that mimic animal predatory behaviour increase the sensitivity to incipient deviation of RADF and improve compensation. Lyapunov method proves the stability and semi-physical simulation shows the control efficiency.
Highlights
Hypersonic flight vehicles (HFVs) are important in military applications, which indicate broad prospects for their development [1], [2]
Based on the multiple approximation strategy and adaptive control, the robust hybrid active-passive fault-tolerant control (FTC) problem for compound faults in HFV attitude dynamics was investigated in this study
Improved adaptive FTC laws, which consisted of both fusion adaptive learning rates and a novel prey architecture, were introduced to reduce the effect of the rudder structure fault (RSF)-rudder angle deviation fault (RADF) compound faults under multiple source nonlinearities conditions
Summary
Hypersonic flight vehicles (HFVs) are important in military applications, which indicate broad prospects for their development [1], [2]. The main contributions of this study are as follows: 1) A multi-approximation method with fuzzy logic and RBF is used to achieve linear simplification and tracking control of HFV in the multi-source nonlinear environment. The task of this study is (i) to propose a hybrid compensation to enable the system to stably track the reference model outputs under the rudder compound faults (RSF and RADF);. (ii) to design a variable parameter scheme to optimise the estimation and FTC curves for incipient and large value RADF; VOLUME 9, 2021. A theorem is given to design a state feedback controller with a passive compensation function to guarantee error dynamics (21) is asymptotically bounded under only RSF.
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