Observer‐based finite time adaptive fault tolerant control for nonaffine nonlinear systems with actuator faults and disturbances

Self Cite

Summary In this article, an adaptive output feedback neural tracking control algorithm is studied for non‐affine switched systems with multiple time delays and actuator faults. First, an adaptive neural state observer, which only needs to update a parameter online, is presented to estimate the unmeasurable state, and Lipschitz condition is used to deal with delay fault so as to avoid complex delay assumption. Then, by using online estimation information and backstepping technique, a switched fault‐tolerant control mechanism is established for non‐affine switched systems, the designed controller of each subsystems can ensure that non‐affine switched systems output signal can track reference signal under switch signals with average dwell time and all closed‐loop signals are bounded in the presence of multiple time delays, actuator faults, and external disturbances. Finally, simulation results verify the effectiveness of the proposed algorithm.

Section: Introductionmentioning

confidence: 86%

“…Taking ( 39) and ( 40) into (37) yields One the other hand, it is easy to see from ( 33) and (42) that 1 2…”

Section: And Designing the Final Virtual Controlmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Adaptive neural tracking control for non‐affine switched systems with multiple time delays and actuator faults

Zhang

2022

Self Cite

“…In recent years, fault‐tolerant control has received considerable attention. The fault‐tolerant control schemes have been proposed in References 4‐10. An adaptive output feedback fault‐tolerant control strategy for non‐affine nonlinear systems with unmeasurable states was proposed in Reference 4.…”

Section: Introductionmentioning

confidence: 99%

“…The fault‐tolerant control schemes have been proposed in References 4‐10. An adaptive output feedback fault‐tolerant control strategy for non‐affine nonlinear systems with unmeasurable states was proposed in Reference 4. In Reference 5, a state observer was designed for switched nonlinear systems to approximate the unmeasurable state and compensate for the impact of actuator failures on the system.…”

Section: Introductionmentioning

confidence: 99%

Observer‐based finite‐time adaptive fault‐tolerant control for nonlinear system with input delay and prescribed performance

Liu

2023

Summary This paper focuses on the issue of the adaptive fuzzy fault‐tolerant control for a type of nonlinear system with input delay and disturbances. Fuzzy logic systems (FLSs) are used to estimate the unknown nonlinear quantities of the system. The Pade approximation is applied to counteract the negative effects of input delay on the system. The prescribed performance control based on error transformation helps to guarantee the transient performance of system errors. A fuzzy state observer is established to estimate the unmeasurable states of the system. Then, in presence of disturbances and actuator faults, a finite‐time control scheme is designed using the Lyapunov function and the backstepping technique. Based on Lyapunov stability, it is proved that the tracking error can converge to a specified range in a finite time, and all signals in the system are bounded in the controller design. In the end, the simulations of a second‐order system and a multi‐area interconnected power system certify the feasibility and effectiveness of the control strategy.

Designing an adaptive robust observer for underactuation fault diagnosis of a remote sensing satellite

Zarourati

Mirshams

Tayefi

2023

SummaryThis paper mainly aims at the underactuated case diagnosis due to an actuator failure for a remote sensing satellite. We consider healthy initial conditions for the actuators to investigate the underactuation fault in an attitude tracking control problem. Reaction wheels are the onboard actuators, and a new fault injection mechanism on the speed characteristic is introduced using the multi‐fault function. The fault detection and diagnosis strategy is based on the sliding mode and adaptive sliding mode observers in a finite‐time decision window. The robust observer and adaptive threshold are designed to detect the fault, and the adaptive robust observer estimates the fault model. The residual signal is evaluated by forming the window with fixed thresholds, and in the decision steps, priority is given to the underactuation fault diagnosis. System performance is presented for two actuator fault scenarios in a snapshot imaging mode to understand this case clearly. Numerical simulations close to in‐orbit conditions confirm the satisfactory performance of the proposed strategy that underactuated case is diagnosed by injecting stuck and idle faults around 2.19 and 3.52 s. The times obtained in this study are guaranteed with a 3‐sigma confidence level statistical characteristic. Furthermore, the results of the present work are validated using an air‐bearing experimental test bed to illustrate a more realistic behavior of an underactuated satellite.