Sliding Mode State and Fault Estimation for Decentralized Systems

In order to overcome disturbances such as the instability of internal parameters or the actuator fault, the time-varying proportional-integral sliding-mode surface is defined for coordinated control of the excitation generator and the steam valve of waste heat power generation units, and a controller based on sliding-mode function is designed which makes the system stable for a limited time and gives it good performance. Based on this, a corresponding fault estimation law is designed for specific faults of systems, and a sliding-mode fault-tolerant controller is constructed based on the fixed-time control theory so that the systems can still operate stably when an actuator fault occurs and have acceptable performance. The simulation results show that the tracking error asymptotically tends to be zero, and the fixed-time sliding-mode fault-tolerant controller can obviously improve the dynamic performance of the system.

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Active fault-tolerant control for vertical tail damaged aircraft with dissimilar redundant actuation system using integral sliding mode control

Proceedings of the Institution of Mechanical Engineers Part C Journal of Mechanical Engineering Science ◽

10.1177/0954406218790280 ◽

2018 ◽

Vol 233 (7) ◽

pp. 2361-2378 ◽

Cited By ~ 1

Author(s):

Salman Ijaz ◽

Mirza T Hamayun ◽

Lin Yan ◽

Cun Shi

Keyword(s):

Actuator Saturation ◽

Fault Tolerant ◽

Sliding Mode ◽

Fault Tolerant Control ◽

Fault Estimation ◽

Redundant Actuation ◽

Severe Damage ◽

Integral Sliding Mode ◽

Actuation System ◽

Electrohydraulic Actuator

The research about the dissimilar redundant actuation system has indicated the potential fault-tolerant capability in modern aircraft. This paper proposed a new design methodology to achieve fault-tolerant control of an aircraft equipped with dissimilar actuators and is suffered from vertical tail damage. The proposed design is based on the concept of online control allocation to redistribute the control signals among healthy actuators and integral sliding mode controller is designed to achieve the closed-loop stability in the presence of both component and actuator faults. To cope with severe damage condition, the aircraft is equipped with dissimilar actuators (hydraulic and electrohydraulic actuators). In this paper, the performance degradation due to slower dynamics of electrohydraulic actuator is taken in account. Therefore, the feed-forward compensator is designed for electrohydraulic actuator based on fractional-order control strategy. In case of failure of hydraulic actuator subject to severe damage of vertical tail, an active switching mechanism is developed based on the information of fault estimation unit. Additionally, a severe type of actuator failure so-called actuator saturation or actuator lock in place is also taken into account in this work. The proposed strategy is compared with the existing control strategies in the literature. Simulation results indicate the dominant performance of the proposed scheme. Moreover, the proposed controller is found robust with a certain level of mismatch between the actuator effectiveness level and its estimate.

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Event-triggered fault estimation and sliding mode fault-tolerant control for a class of nonlinear networked control systems

Journal of the Franklin Institute ◽

10.1016/j.jfranklin.2018.06.002 ◽

2018 ◽

Vol 355 (13) ◽

pp. 5475-5502 ◽

Cited By ~ 13

Author(s):

Xiaoan Chu ◽

Muguo Li

Keyword(s):

Control Systems ◽

Networked Control Systems ◽

Fault Tolerant ◽

Sliding Mode ◽

Fault Tolerant Control ◽

Networked Control ◽

Fault Estimation ◽

Nonlinear Networked Control Systems ◽

Event Triggered

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Sensor fault estimation and fault tolerant control for IT2 fuzzy system via sliding mode approach

International Journal of Robust and Nonlinear Control ◽

10.1002/rnc.5923 ◽

2021 ◽

Author(s):

Xingjian Sun ◽

Haobo Kang ◽

Hongjun Ma

Keyword(s):

Fuzzy System ◽

Fault Tolerant ◽

Sliding Mode ◽

Fault Tolerant Control ◽

Fault Estimation ◽

Sensor Fault ◽

Sensor Fault Estimation

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Active Fault Tolerant Control Based on Fault Estimation

Applied Mechanics and Materials ◽

10.4028/www.scientific.net/amm.635-637.1199 ◽

2014 ◽

Vol 635-637 ◽

pp. 1199-1202 ◽

Cited By ~ 2

Author(s):

Zheng Gao Hu ◽

Guo Rong Zhao ◽

Da Wang Zhou

Keyword(s):

Active Fault ◽

Fault Tolerant ◽

Sliding Mode ◽

Fault Tolerant Control ◽

Sliding Mode Observer ◽

Fault Estimation ◽

Control Law ◽

Active Fault Tolerant Control ◽

The Stability ◽

Twisting Algorithm

For the chattering problem in the traditional sliding mode observer-based fault estimation, a second order sliding mode observer based on the Super-twisting algorithm was proposed. In order to avoid the cumbersome process of proving the stability of the Super-twisting algorithm, a Lyapunov function was adopted. An active fault tolerant control law was designed based on the fault estimation. Finally, simulation show the effectiveness of the proposed approach.

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Active Fault-Tolerant Control of a Quadcopter against Time-Varying Actuator Faults and Saturations Using Sliding Mode Backstepping Approach

Applied Sciences ◽

10.3390/app9194010 ◽

2019 ◽

Vol 9 (19) ◽

pp. 4010 ◽

Cited By ~ 2

Author(s):

Ngoc Phi Nguyen ◽

Sung Kyung Hong

Keyword(s):

Fault Diagnosis ◽

Active Fault ◽

Fault Tolerant ◽

Sliding Mode ◽

Fault Tolerant Control ◽

Lyapunov Theory ◽

Fault Estimation ◽

Time Varying ◽

Actuator Faults ◽

Active Fault Tolerant Control

Fault-tolerant control is becoming an interesting topic because of its reliability and safety. This paper reports an active fault-tolerant control method for a quadcopter unmanned aerial vehicle (UAV) to handle actuator faults, disturbances, and input constraints. A robust fault diagnosis based on the H ∞ scheme was designed to estimate the magnitude of a time-varying fault in the presence of disturbances with unknown upper bounds. Once the fault estimation was complete, a fault-tolerant control scheme was proposed for the attitude system, using adaptive sliding mode backstepping control to accommodate the actuator faults, despite actuator saturation limitation and disturbances. The Lyapunov theory was applied to prove the robustness and stability of the closed-loop system under faulty operation. Simulation results show the effectiveness of the fault diagnosis scheme and proposed controller for handling actuator faults.

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Rolling-Element Bearing Fault Diagnosis Using Advanced Machine Learning-Based Observer

Applied Sciences ◽

10.3390/app9245404 ◽

2019 ◽

Vol 9 (24) ◽

pp. 5404 ◽

Cited By ~ 9

Author(s):

Farzin Piltan ◽

Alexander E. Prosvirin ◽

Inkyu Jeong ◽

Kichang Im ◽

Jong-Myon Kim

Keyword(s):

Machine Learning ◽

Fault Diagnosis ◽

Sliding Mode ◽

Sliding Mode Observer ◽

Rolling Element Bearing ◽

Fault Estimation ◽

Detection And Identification ◽

Rolling Element ◽

Fuzzy Sliding Mode ◽

Element Bearing

Rotating machines represent a class of nonlinear, uncertain, and multiple-degrees-of-freedom systems that are used in various applications. The complexity of the system’s dynamic behavior and uncertainty result in substantial challenges for fault estimation, detection, and identification in rotating machines. To address the aforementioned challenges, this paper proposes a novel technique for fault diagnosis of a rolling-element bearing (REB), founded on a machine-learning-based advanced fuzzy sliding mode observer. First, an ARX-Laguerre algorithm is presented to model the bearing in the presence of noise and uncertainty. In addition, a fuzzy algorithm is applied to the ARX-Laguerre technique to increase the system’s modeling accuracy. Next, the conventional sliding mode observer is applied to resolve the problems of fault estimation in a complex system with a high degree of uncertainty, such as rotating machinery. To address the problem of chattering that is inherent in the conventional sliding mode observer, the higher-order super-twisting (advanced) technique is introduced in this study. In addition, the fuzzy method is applied to the advanced sliding mode observer to improve the accuracy of fault estimation in uncertain conditions. As a result, the advanced fuzzy sliding mode observer adaptively improves the reliability, robustness, and estimation accuracy of rolling-element bearing fault estimation. Then, the residual signal delivered by the proposed methodology is split in the windows and each window is characterized by a numerical parameter. Finally, a machine learning technique, called a decision tree, adaptively derives the threshold values that are used for problems of fault detection and fault identification in this study. The effectiveness of the proposed algorithm is validated using a publicly available vibration dataset of Case Western Reverse University. The experimental results show that the machine learning-based advanced fuzzy sliding mode observation methodology significantly improves the reliability and accuracy of the fault estimation, detection, and identification of rolling element bearing faults under variable crack sizes and load conditions.

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