Integrated Strategy for Commercial Aircraft Fault-Tolerant Control

Liu, Yishi; Zhang, Ren; Cooper, Jonathan E.

doi:10.2514/1.g003175

Cited by 15 publications

(8 citation statements)

References 25 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Moreover, there are plenty of actuators in MASs to accomplish complex tasks and the reliabilities of them are low for economic reasons, so that faults also appear in the overall system. Based on our previous work, faults consist of additive one and multiplicative one, and both of them can affect the stability of the system 31 . Therefore, the fault‐tolerant control (FTC) strategy should be considered in the distributed secure formation control strategy to improve the performance of the faulty MASs.…”

Section: Introductionmentioning

confidence: 99%

Secure formation control for resilient multi‐agent cyber‐physical systems under DoS attacks and faults

Liu

Dong

Zhang

et al. 2023

Intl J Robust & Nonlinear

Self Cite

View full text Add to dashboard Cite

A distributed cyber-security and fault tolerance formation problem is considered in this paper. This is done though a multi-agent system in which all agents concentrate on a formation reference function and accomplish a desired time-varying formation even in the presence of malicious attacks and multiple faults. To achieve the resilient control task, a distributed control protocol using an event-triggered technique and active reconfigurable strategy is proposed in the face of adverse effects for the overall system. When denial of service is launched by adversaries, the attack parameters are bounded by analyzing the Lyapunov stability theorem and the property of the Laplacian matrix. To improve the capability of fault-tolerance, an observer-based fault estimator is used to calculate fault values. The simulation results validate that the presented scheme can perfectly address the distributed formation issue with faults over attack intervals.

show abstract

Section: Introductionmentioning

confidence: 99%

Secure formation control for resilient multi‐agent cyber‐physical systems under DoS attacks and faults

Liu

Dong

Zhang

et al. 2023

Intl J Robust & Nonlinear

Self Cite

View full text Add to dashboard Cite

show abstract

“…Generally speaking, FE is regarded as a monitoring tool and is parallel‐designed. However, this module interacts with the reconfigurable controllers and is a component of the FTFC system [33]. The existing literature for the integrated design of FE and reconfigurable control (RC) is limited.…”

Section: Introductionmentioning

confidence: 99%

Integrated active fault‐tolerant formation control for networked multi‐agent systems

Liu

Dong

Shi

et al. 2022

IET Control Theory & Appl

Self Cite

View full text Add to dashboard Cite

This paper focuses on the design and simulation of an integrated reconfigurable control strategy for networked multi-agent systems. The control task is to remain the desired time-varying formation in the presence of actuator faults, and to well address the pairing between fault estimation and reconfigurable formation control. A decentralized fault estimation method using observer based estimator is presented to estimate both additive and multiplicative fault values. The reconfigurable control is constructed by adaptive technique using a distributed strategy. Only the information from neighboring agents as well as the fault values are required. The adaptive gains and fault estimates are designed by analyzing the Lyapunov stability of the overall system. The simulation results validate that the proposed integrated fault-tolerant formation control scheme can recover the original desired formation if there are faulty agents in system.

show abstract

“…27 And an integrated fault-tolerant control scheme is presented that develop unknown input observer for fault estimation. 28 A fault-tolerant control method is developed that uses gain schedule for solving actuator saturation and stuck control surface faults. 29 A reconfiguration control is proposed for the simultaneous failure of the sensor and actuator, it uses the Kalman filter method for sensor fault diagnosis and estimation, and uses the estimated information to reconstruct the control after the actuator fails.…”

Section: Introductionmentioning

confidence: 99%

Data-driven fault-tolerant control for unmanned aerial vehicles without using identification model

Zheng

Lin

2022

Proceedings of the Institution of Mechanical Engineers, Part G:

View full text Add to dashboard Cite

Unmanned aerial vehicle (UAV)’s fault-control problem was studied in this paper, and data-driven fault-tolerant control scheme was developed for acceleration tracking control of UAV in order to cope with the uncertainties induced by aerodynamic damage. A linear UAV dynamic model was given with reasonable assumptions, and the acceleration tracking control for UAV was converted to solving an infinite-horizon optimal control problem. The augmented algebraic Riccati equation (ARE) is derived, and its solution stability is proved based on Lyapunov theory. The data-driven control algorithm is further derived for online solving of the augmented ARE with only using flight data. The proposed algorithm is based on experience replay of flight data rather than model knowledge, so it greatly reduces the effect of uncertainties induced by aerodynamic damage on the flight control system for UAVs. Finally, the effectiveness of developed algorithm is verified through the numerical simulations under different uncertainties induced by aerodynamic damage.

show abstract

Integrated Strategy for Commercial Aircraft Fault-Tolerant Control

Cited by 15 publications

References 25 publications

Secure formation control for resilient multi‐agent cyber‐physical systems under DoS attacks and faults

Secure formation control for resilient multi‐agent cyber‐physical systems under DoS attacks and faults

Integrated active fault‐tolerant formation control for networked multi‐agent systems

Data-driven fault-tolerant control for unmanned aerial vehicles without using identification model

Contact Info

Product

Resources

About