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

Abstract

Summary This study presents a sensor cascading fault estimation and fault‐tolerant control (FTC) for a nonlinear Takagi‐Sugeno fuzzy model of hypersonic flight vehicles. Sensor cascading faults indicate the occurrence of source fault will cause another fault and the interval between them is really short, which makes it difficult to handle them in succession. A novel multidimensional generalized observer is used to estimate faults by integrating constant offset and time‐varying gain faults. Then, a fault‐tolerant controller is used to solve system nonlinearity and sensor fault problems. The observer and controller satisfy the performance index and are robust to external disturbances. A sufficient condition for the existence of observer and controller is derived on the basis of Lyapunov theory. Simulation results indicate the effectiveness of the proposed fault estimation and FTC scheme.

Improved Adaptive Fault-Tolerant Control of a Variable Structure Fighter with Multiple Faults Based on an Extended Observer

“…e observer of [25] only estimates the sensor fault, not the actuator fault and disturbance; the observer of [30] can only estimate unmeasured states, the essence of its method is passive compensation. e ESO in this study has been greatly improved, which can simultaneously estimate disturbance, states, sensor fault, and actuator fault, and has more functions.…”

“…At present, some research achievements have been made in FTC of the aircraft under the condition of multiple faults. Chen et al designed an adaptive robust faulttolerant controller based on multidimensional-generalized observers for the longitudinal system of the hypersonic vehicle with sensor cascading faults, which solved the ineffectiveness of ordinary generalized observers in cascading fault estimation due to coupling effects and realized the estimation and compensation of the sensor cascading fault [25]. Zhang Jing et al introduced an adaptive backstepping fault-tolerant controller based on a dynamic high-gain observer for a multiple input multiple output (MIMO) nonlinear system with actuator and sensor faults, which ensures the global stability of the system tracking error [26].…”

Active fault tolerant control based on adaptive interval observer for uncertain systems with sensor faults

“…An FDI scheme alleviates this issue, by only triggering the FTC when a fault is detected and isolated. However, most works on FDI‐based FTC 13–15,31–33 assumed that FDI process is perfect and fault information can be obtained instantaneously and hence do not consider the effect of any FDI delay on the overall control performance; however, time delay due to FDI is inevitable and its effect on control performance should be considered during the design of FTC, especially when the delay is large. To the best of our knowledge, very few FDI‐based FTC works considered the FDI delay, 17–20 but they required the full state information to be available.…”

“…If the time needed by the FDI unit to obtain the fault information is longer than the critical reaction time, then the system may enter an unrecoverable state 12 . However, most FDI‐based active FTC (such as References 13–15) designs the FD, fault isolation (FI) and FTC modules/units separately, and have not considered the effect of FDI on FTC (such as the critical reaction time). There have been some works that consider the time delay from FDI, for example, Pang et al 16 focused on the problem of simultaneous FD and antisaturated control for an inverted pendulum control system, where the detector and controller were integrated by solving a bank of matrix inequalities; Shen et al 17 quantitatively analyzed the effect of the time delay due to fault diagnosis on the faulty system's performance; Zhang et al 18,19 presented a unified methodology for detecting, isolating and accommodating faults in a class of nonlinear dynamic systems, where the nominal controller (NC) was reconfigured after FD and before FI in order to ensure the boundedness of system states, and Mu et al 20 developed an FD‐based FDI scheme for distributed parameter system.…”