Reduced-order observer based fault estimation and fault-tolerant control for switched stochastic systems with actuator and sensor faults

2019 ◽  
Vol 88 ◽  
pp. 91-101 ◽  
Author(s):  
Jian Han ◽  
Xiuhua Liu ◽  
Xinjiang Wei ◽  
Xin Hu ◽  
Huifeng Zhang
Keyword(s):  
Stochastic Systems ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Fault Estimation ◽  
Sensor Faults ◽  
Reduced Order ◽  
Switched Stochastic Systems ◽  
Reduced Order Observer

scholarly journals Active Fault-Tolerant Control for Wind Turbine with Simultaneous Actuator and Sensor Faults

Complexity ◽  
2017 ◽  
Vol 2017 ◽  
pp. 1-11 ◽  
Author(s):  
Lei Wang ◽  
Ming Cai ◽  
Hu Zhang ◽  
Fuad Alsaadi ◽  
Liu Chen
Keyword(s):  
Wind Turbine ◽  
State Vector ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Design Method ◽  
Fault Tolerant Control ◽  
Descriptor System ◽  
Fault Estimation ◽  
Sensor Faults ◽  
Set Up

The purpose of this paper is to show a novel fault-tolerant tracking control (FTC) strategy with robust fault estimation and compensating for simultaneous actuator sensor faults. Based on the framework of fault-tolerant control, developing an FTC design method for wind turbines is a challenge and, thus, they can tolerate simultaneous pitch actuator and pitch sensor faults having bounded first time derivatives. The paper’s key contribution is proposing a descriptor sliding mode method, in which for establishing a novel augmented descriptor system, with which we can estimate the state of system and reconstruct fault by designing descriptor sliding mode observer, the paper introduces an auxiliary descriptor state vector composed by a system state vector, actuator fault vector, and sensor fault vector. By the optimized method of LMI, the conditions for stability that estimated error dynamics are set up to promote the determination of the parameters designed. With this estimation, and designing a fault-tolerant controller, the system’s stability can be maintained. The effectiveness of the design strategy is verified by implementing the controller in the National Renewable Energy Laboratory’s 5-MW nonlinear, high-fidelity wind turbine model (FAST) and simulating it in MATLAB/Simulink.

Tracking Fault Tolerant Control for Hybrid System: Two-Link Human Arm Application

2019 ◽  
Vol 141 (5) ◽  
Author(s):  
Labidi Islem ◽  
Zanzouri Nadia ◽  
Takrouni Asma
Keyword(s):  
State Feedback ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Estimation Algorithm ◽  
Fault Estimation ◽  
Linear Matrix ◽  
Sensor Faults ◽  
Proportional Integral Derivative ◽  
Human Arm ◽  
Proportional Integral Derivative Control

This paper proposes a novel fault tolerant control (FTC) scheme for a class of hybrid dynamical system (HDS) subject to sensor faults. The corresponding FTC architecture is designed around a reconfiguration mechanism. It aims to compensate the effects of the sensors degradation and maintain satisfactory performances including continuous stability. Moreover, by using the linear matrix inequalities (LMI) approach, a fault estimation algorithm is fulfilled and the compromise between robustness to disturbances and sensitivity to fault is guaranteed. For the sake of trajectory tracking, a combined robust state feedback and proportional-integral-derivative control system is proposed herein. Finally, extensive simulation results conducted on two-link arm system are included to illustrate the efficiency of the designed FTC scheme.

scholarly journals Sensor Fault Tolerant Control for Aircraft Engines Using Sliding Mode Observer

Energies ◽  
2019 ◽  
Vol 12 (21) ◽  
pp. 4109
Author(s):  
Xiaodong Chang ◽  
Jinquan Huang ◽  
Feng Lu
Keyword(s):  
Fault Tolerant ◽  
Sliding Mode ◽  
Fault Tolerant Control ◽  
Sliding Mode Observer ◽  
Dynamic Responses ◽  
Fault Estimation ◽  
Aircraft Engines ◽  
Sensor Faults ◽  
Classical State ◽  
System States

This paper investigated the problem of fault estimation and fault-tolerant control (FTC) against sensor faults for aircraft engines. By applying a second order sliding mode observer (SOSMO) to the engine on-board model, estimations of the system states and sensor faults could be obtained simultaneously, and the result of state estimation was unaffected when using the reduced-order sliding mode system. This result gave rise to the idea to use the estimated states instead of physical sensor signal in the engine close-loop feedback control. Unlike those using passive FTC concepts, the tradeoff between control performance and robustness was inherently unnecessary. Meanwhile, compared to active FTC approaches, because any classical state/output feedback method can be directly applied to the proposed scheme without any controller reconfiguration, extra undesired dynamic responses caused by parameter reconfiguring were avoided. In this paper, the proposed FTC scheme was tested on the nonlinear model of a civil aircraft turbofan engine, and numerical simulation results showed satisfactory sensor FTC performance.

Fault-tolerant control for vehicle with vertical and lateral dynamics

2018 ◽  
Vol 233 (12) ◽  
pp. 3165-3184 ◽  
Author(s):  
Jinwei Sun ◽  
JingYu Cong ◽  
Liang Gu ◽  
Mingming Dong
Keyword(s):  
Active Fault ◽  
Fault Tolerant ◽  
Fault Tolerant Control ◽  
Gain Scheduling ◽  
Integrated Model ◽  
Integrated System ◽  
Fault Estimation ◽  
Sensor Faults ◽  
Sensor Fault ◽  
Lateral Dynamics

As the possibility of sensor faults in the vehicle chassis system is higher and influences the vehicle stability, this paper deals with active fault-tolerant control for vehicle with vertical and lateral dynamics. It focuses on the combined control of active suspension system and electronic stability control with sensor faults based on the interaction between vehicle with vertical and lateral dynamics. A 9-degree-of-freedom vehicle integrated model is adopted for accurate control. The aim of the controller is to improve riding comfort when the vehicle is driving straight and improve lateral stability when the vehicle is steering in the presence of external disturbances and sensor faults. First, an H∞-based method is introduced to reconstruct the sensor fault signals, and meanwhile, the method can also observe the unmeasured signals. Based on the reconstruction faults and observed signals, a gain scheduling controller is utilized to guarantee the performance of the integrated model under different driving conditions, and the steering input is chosen as the scheduling parameter. Three different conditions, step steering input, single lane change input, and sensor faults, are considered. The main contributions of this study are as follows: (1) an H∞-based observer was designed for sensor fault estimation of the vertical and lateral integrated model and (2) a gain scheduling controller was designed to improve the performance of the integrated system. Simulations results indicated that the active fault-tolerant controller can reconstruct sensor faults and observe the unmeasured states exactly, and the linear parameter varying framework–based gain scheduling controller ensures the system performance adaptively.

scholarly journals Active Fault Tolerant Control Design for LPV Systems with Simultaneous Actuator and Sensor Faults

2019 ◽  
Vol 2019 ◽  
pp. 1-14 ◽  
Author(s):  
Raouaa Tayari ◽  
Ali Ben Brahim ◽  
Fayçal Ben Hmida ◽  
Anis Sallami
Keyword(s):  
Active Fault ◽  
Fault Tolerant ◽  
Sliding Mode ◽  
Sufficient Conditions ◽  
Fault Tolerant Control ◽  
State Feedback Control ◽  
Fault Estimation ◽  
Sensor Faults ◽  
Lpv Systems ◽  
Active Fault Tolerant Control

The present paper addresses the problem of robust active fault tolerant control (FTC) for uncertain linear parameter varying (LPV) systems with simultaneous actuator and sensor faults. First, fault estimation (FE) scheme is designed based on two adaptive sliding mode observers (SMO). Second, using the information of simultaneous system state, actuator, and sensor faults, two active FTC are conceived for LPV systems described with polytopic representation as state feedback control and sliding mode control. The stability of closed-loop systems is guaranteed by mean of H∞ performance; sufficient conditions of the proposed methods are derived in LMIs formulation. The performance effectiveness of FTC design is illustrated using a VTOL aircraft system with both sensor and actuator faults as well as disturbances. In addition, comparative simulations are provided to verify the benefits of the proposed methods.

Sign in / Sign up

Export Citation Format

Share Document