scholarly journals L1 Adaptive for Aircraft Lateral Fault Tolerant Control with Actuator Failure

2019 ◽  
Vol 37 (5) ◽  
pp. 935-942
Author(s):  
Yan Zhou ◽  
Huiying Liu ◽  
Jing Li
Keyword(s):  
Control Method ◽  
Fault Tolerant ◽  
Adaptive Controller ◽  
Actuator Failure ◽  
Bounded Control ◽  
L1 Adaptive Control ◽  
Unmatched Uncertainties ◽  
Fault Mode ◽  
The Stability ◽  
Multiplicative Fault

When aircraft is laterally controlled, actuator failure may cause matched/unmatched uncertainties. In order to deal with the uncertainty, a fault-tolerant controller is designed by using L1 adaptive control method. An aircraft lateral model was established by considering faults and disturbances, the effects of the uncertainty and interference were counteracted by using L1 adaptive controller in order to ensure the rapid adaptation and robustness, and then the stability and transient performance of the closed-loop system were proven through Lyapunov method. In the case of multiplicative fault, additive fault and stuck fault, the uncertainties of model parameter were added to simulate simultaneously. Simulation results showed that the present control method in both single-fault mode and hybrid-failure mode could ensure the uniform bounded control signal and parameter estimation, effectively eliminates the effect of the faults and had the good fault tolerance and robustness.

scholarly journals Fault-Tolerant Aircraft Control Based on Self-Constructing Fuzzy Neural Network for Quadcopter

2021 ◽  
Vol 15 (1) ◽  
pp. 109-122
Author(s):  
Dejie Li ◽  
◽  
Pu Yang ◽  
Zhangxi Liu ◽  
Zixin Wang ◽  
...  
Keyword(s):  
Neural Network ◽  
Fuzzy Neural Network ◽  
Control Method ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Failure Model ◽  
Aircraft Control ◽  
Actuator Failure ◽  
Fuzzy Neural ◽  
The Stability

This paper proposes a fault-tolerant aircraft control method based on a self-constructed fuzzy neural network for quadcopters with multiple actuator faults. We first introduce the actuator failure model and the model uncertainty. Subsequently, we establish a framework for a self-constructed fuzzy neural network observer with an adaptive rate to obtain the estimated value of the nonlinear term of the module uncertainty. We also design a multivariable sliding mode fault-tolerant controller to ensure the stability of the aircraft under this fault condition. Finally, we conduct experiments using the Pixhawk 4 flight controller installed on the QBall-X4 UAV experimental platform, such that the use of the flight controller’s fault coprocessor and redundant sensor design reduces the crash that occurs during the debugging of the control algorithm. Compared to the existing intelligent fault-tolerant control technology, our proposed method employs fewer fuzzy rules, and the number of these rules can be adaptively adjusted when the system model changes. In the experimental test, the aircraft was still able to fly stably under multi-actuator failure and interference conditions, thereby proving the stability of the proposed controller.

A finite-time H-infinite adaptive fault-tolerant controller considering time delay for flutter suppression of airfoil flutter

2019 ◽  
Vol 234 (2) ◽  
pp. 293-307
Author(s):  
Gao Ming-Zhou ◽  
Chen Xin-Yi ◽  
Han Rong ◽  
Yao Jian-Yong
Keyword(s):  
Finite Time ◽  
Control Method ◽  
Controller Design ◽  
Fault Tolerant ◽  
Linear Matrix ◽  
Control Methods ◽  
Actuator Faults ◽  
Control Delay ◽  
Modeling Uncertainties ◽  
The Stability

To suppress airfoil flutter, a lot of control methods have been proposed, such as classical control methods and optimal control methods. However, these methods did not consider the influence of actuator faults and control delay. This paper proposes a new finite-time H∞ adaptive fault-tolerant flutter controller by radial basis function neural network technology and adaptive fault-tolerant control method, taking into account actuator faults, control delay, modeling uncertainties, and external disturbances. The theoretic section of this paper is about airfoil flutter dynamic modeling and adaptive fault-tolerant controller design. Lyapunov function and linear matrix inequality are employed to prove the stability of the proposed control method of this paper. The numeral simulation section further proves the effectiveness and robustness of the proposed control algorithm of this paper.

scholarly journals Cloud-Based Fault Tolerant Control for a DC Motor System

2017 ◽  
Vol 2017 ◽  
pp. 1-10 ◽  
Author(s):  
Xiao He ◽  
Yamei Ju ◽  
Yang Liu ◽  
Bangcheng Zhang
Keyword(s):  
Fault Diagnosis ◽  
Motor System ◽  
Control Method ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Dc Motor ◽  
Fault Estimation ◽  
Packet Dropout ◽  
Actuator Faults ◽  
The Stability

The fault tolerant control problem for a DC motor system is investigated in a cloud environment. Packet dropout phenomenon introduced by the limited-capacity communication channel is considered. Actuator faults are taken into consideration and fault diagnosis and fault tolerant control methods towards actuator faults are proposed to enhance the reliability of the whole cloud-based DC motor system. The fault diagnosis unit is then established with purpose of obtaining fault information. When the actuator fault is detected by comparing the residual signal with a predefined threshold, a residual matching approach is utilized to locate the fault. The fault can be further estimated by a least-squares filter. Based on the fault estimation, a fault tolerant controller is designed to guarantee the stability as well as the control performance of the DC motor system. Simulation result on a DC motor system shows the efficiency of the fault tolerant control method proposed in this paper.

scholarly journals A hybrid fault-tolerant control strategy for four-wheel independent drive vehicles

2021 ◽  
Vol 13 (9) ◽  
pp. 168781402110454
Author(s):  
Ruinan Chen ◽  
Jian Ou
Keyword(s):  
Real Time ◽  
Control Strategy ◽  
High Performance ◽  
Control Method ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Fault Tolerant Control ◽  
The Stability ◽  
Model Reference Adaptive ◽  
Observation Results

In this paper, a hybrid fault-tolerant control strategy is putted forward to improve the stability of the four-wheel independent drive (4WID) electric vehicle with motor failures. To improve the handling performance of the vehicle with in-wheel motor failures, the faults of in-wheel motors are analyzed and modeled. Then, a model reference adaptive fault observer was designed to observe the faults in real-time. Based on the observation results, there are designed a model predictive control (MPC) based high-performance active fault-tolerant control (AFTC) strategy and a sliding mode control based high-robust passive fault-tolerant control (PFTC) strategy. However, the fault observation results may not always be accurately. For this circumstance, a hybrid fault-tolerant control strategy was designed to make the control method find a balance between optimality and robustness. Finally, a series of simulations are conducted on a hardware-in-loop (HIL) real-time simulator, the simulation results show that the control strategy designed in this paper is effectiveness.

scholarly journals Fault Tolerance for Active Surface System with Actuator Faults

2021 ◽  
Vol 2021 ◽  
pp. 1-12
Author(s):  
Danqing Zhang ◽  
Binbin Xiang ◽  
Aili Yusup ◽  
Na Wang ◽  
Guljaina Kazezkhan
Keyword(s):  
Control Method ◽  
Fault Tolerant ◽  
Active Surface ◽  
Surface Shape ◽  
Actuator Faults ◽  
Surface System ◽  
Main Reflector ◽  
And Performance ◽  
The Stability ◽  
Adjustment System

The QiTai Radio Telescope (QTT) will be equipped with the active surface adjustment system (ASAS) to correct the main reflector deformation caused by environmental loading. In order to guarantee the stability and performance of the active surface system under fault conditions, it is necessary to adopt the fault-tolerant method when actuator faults have occurred. In this paper, a fault control method based on actuator faults weighting is proposed to solve the active surface fault control problem. According to the coordinates of the adjustable points of the panels corresponding to the faulty actuators, a new paraboloid is fitted by a weighted health matrix, and the fitting surface is taken as the target to adjust the surface shape.

Adaptive fault-tolerant control for a joint flexible manipulator based on dynamic surface

2019 ◽  
Vol 41 (15) ◽  
pp. 4240-4253 ◽  
Author(s):  
Lijun Wang ◽  
Dan Zhang ◽  
Jinkun Liu ◽  
Haifeng Huang ◽  
Qiuyue Shi ◽  
...  
Keyword(s):  
Lyapunov Method ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Flexible Manipulator ◽  
Actuator Failure ◽  
Dynamic Surface ◽  
The Stability ◽  
Bounded Disturbance ◽  
Flexible Joint Manipulator ◽  
Surface Technique

In order to solve the problem of actuator failure of flexible joint manipulator, adaptive fault-tolerant control for a flexible manipulator with bounded disturbance is proposed, both actuator partial failure and actuator stuck are considered. The control lows are devised by means of the dynamic surface technique, and the bounded disturbance is compensated via the design of robust items. The stability of the control system is guaranteed via the Lyapunov method. The effectiveness of the theoretical schemes is finally verified by two simulation examples.

scholarly journals Fault Diagnosis and Reconfigurable Control for Commercial Aircraft with Multiple Faults and Actuator Saturation

Aerospace ◽  
2021 ◽  
Vol 8 (4) ◽  
pp. 108
Author(s):  
Yishi Liu ◽  
Sheng Hong ◽  
Enrico Zio ◽  
Jianwei Liu
Keyword(s):  
Fault Diagnosis ◽  
Control Method ◽  
Actuator Saturation ◽  
Fault Tolerant ◽  
External Disturbance ◽  
Fault Tolerant Control ◽  
Adaptive Method ◽  
Reconfigurable Control ◽  
Multiple Faults ◽  
The Stability

Active fault-tolerant control systems perform fault diagnosis and reconfigurable control. There is a bidirectional uncertainty between them, and an integrated scheme is proposed here to account for that. The system considers both actuator and sensor faults, as well as the external disturbance. The diagnostic module is designed using an unknown input observer, and the controller is constructed on the basis of an adaptive method. The integrated strategy is presented, and the stability of the overall system is analyzed. Moreover, different kinds of anti-windup techniques are utilized to modify the original controllers, because of the different controller structures. A simulation of the integrated anti-windup fault-tolerant control method is demonstrated using a numerical model of Boeing 747. The results show that it can guarantee the stability of the post-fault aircraft and increase the control performance for the overall faulty system.

scholarly journals Adaptive neural network control of an arm-string system with actuator fault based on a PDE model

2018 ◽  
Vol 25 (1) ◽  
pp. 172-181 ◽  
Author(s):  
Fangfei Cao ◽  
Jinkun Liu
Keyword(s):  
Fault Tolerant ◽  
Detection System ◽  
Adaptive Controller ◽  
Network Control ◽  
Rbf Neural Networks ◽  
Actuator Failure ◽  
Pde Model ◽  
Adaptive Neural Network Control ◽  
Feedback Structure ◽  
Unknown Disturbance

In this paper, an adaptive boundary controller for an undersea detection robot system with actuator failure, unknown disturbance and boundary deflection constraint is proposed. Using Hamilton’s principle, a partial differential equation (PDE) model is established for the detection system, which consists of a rigid arm, a flexible string and a sensor. Considering the actuator failure, a fault-tolerant scheme is proposed to tackle it. To handle the unknown disturbance, we employ radial basis function (RBF) neural networks (NNs) to neutralize the boundary uncertain nonlinear disturbance. The proposed adaptive controller includes a proportional–derivative (PD) feedback structure, a fault-tolerant strategy and a NN control scheme. By choosing an appropriate Lyapunov-Krasovskii function and applying LaSalle’s Invariance Principle, the asymptotic stability of the closed-loop system is rigorously proven. Simulation results validate the proposed controller.

scholarly journals Backstepping control based on L1 adaptive theory for large transport aircraft heavy load airdrop

2018 ◽  
Vol 15 (1) ◽  
pp. 172988141774948
Author(s):  
Pengchao Zhang
Keyword(s):  
High Efficiency ◽  
Control Method ◽  
Uniform Boundedness ◽  
Adaptive Controller ◽  
Backstepping Control ◽  
Heavy Load ◽  
Transport Aircraft ◽  
External Loop ◽  
Control Switch ◽  
The Stability

A study of the L1 adaptive controller is conducted based on the backstepping method for the model of large transport aircraft with drastic changes appearing in heavy load airdrop process. The system is divided into an attitude subsystem and a velocity subsystem. For the attitude subsystem, the backstepping control is used to design the virtual control of path angle and the pitch angle in external loop with the L1 adaptive controller designed in internal loop to estimate the uncertainties and disturbances in the subsystem and to compensate them. In the stability analysis, the uniform boundedness of all signals in the closed-loop system is proven. Simulation results show that the proposed control method preserves the quick dynamic torque response, high efficiency, and robustness in heavy load airdrop; to some extent it can alleviate the control switch lead or lag problem and ensure the safety of the transport aircraft to fulfill the complete airdrop mission.

Adaptive fault-tolerant flutter control considering related failure

2021 ◽  
pp. 095441002110180
Author(s):  
Mingzhou Gao
Keyword(s):  
Stability Analysis ◽  
Control Method ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Control Law ◽  
Cubic Nonlinearity ◽  
External Disturbances ◽  
Lyapunov Stability Analysis ◽  
Simulation Results ◽  
The Stability

This article proposes a novel adaptive fault-tolerant control method for suppressing flutter and compensating for related failure in a flutter system. Considering cubic nonlinearity, external disturbances, and related failure, the flutter dynamic model was established firstly. Then, an adaptive fault-tolerant control law was proposed on basis of this model to compensate for related failure and suppress flutter. By Lyapunov stability analysis, the stability of proposed control law was proved in detail. On the last, simulation results further proved the effectiveness of the control law which can not only suppress flutter and compensate for related failure successfully but also has good robustness for external disturbances and system perturbation.

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