Robust Actuator‐Fault‐Tolerant Control System Based on Sliding‐Mode Observer for Thrust‐Vectoring Aircrafts

Abstract

In this paper, a robust actuator-fault-tolerant control (FTC) system is proposed for thrust-vectoring aircraft (TVA) control. To this end, a TVA model with actuator fault dynamics, disturbances, and uncertain aerodynamic parameters is described, and a local fault detection and identification (FDI) mechanism is proposed to locate and identify faults, which utilizes an adaptive sliding-mode observer (SMO) to detect actuator faults and two SMOs to identify and estimate their parameters. Finally, a fault-tolerant controller is designed to compensate for these actuator faults, disturbances, and uncertain aerodynamic parameters; the approach combines back-stepping control with fault parameters and a high-order SMO. Furthermore, the stability of the entire control system is validated, and simulation results are given to demonstrate the effectiveness and potential for this robust FTC system.

Adaptive fault‐tolerant control of an axially moving system with time‐varying constraints

“…By approximating faults accurately, [26] investigates a fault-tolerant design for a classical one-sided Lipschitz nonlinear system. In a thrust-vectoring aircraft system [27], parameter estimation and actuator fault compensation are both considered. Identification mechanisms and adaptive sliding-mode observers are respectively designed to identify and detect faults.…”

Integrated design of robust fault estimation and fault‐tolerant control against simultaneous actuator and sensor faults

“…In view of their abilities to improve system safety and reliability, fault diagnosis and fault-tolerant control (FTC) have been the subjects of many studies during the past few decades. Fruitful results can be found in [1][2][3][4][5][6] and the references therein.…”

“…However, it is not an easy task. Several FE strategies based on observers such as sliding mode observer [3], adaptive observer [10,11], unknown input observer [12] and reduced-order observer [13] have been developed. Based on the proportional-integral observer, the FE of actuator and sensor was studied in [14] for Takagi-Sugeno (T-S) fuzzy systems with unknown premise variables.…”

Super‐Twisting Observer‐Based Integral Sliding Mode Control for Tracking the Rapid Acceleration of a Piston in a Hybrid Electro‐Hydraulic and Pneumatic System

“…Moreover, it can be stably combined with complicated adaptive algorithms [44][45][46][47][48][49], and be easily integrated with other control techniques [50][51][52] in both mathematical theory and practical experiment. In addition, the sliding mode observer [23,24,[56][57][58][59][69][70][71][72] was suggested and developed for several decades, which brought about the operating safety and reliability of the exceedingly sophisticated and complex system. The combination of sliding mode disturbance observer (SMDO) and SMC [25] not only features a fully self-adaptive characteristic of SMC, but also has a high capacity for estimating the composite disturbance based on the super-twisting technique.…”