Tolerant Control Research Articles

Interval observer-based fault tolerant control for discrete-time switched linear system

Interval observer-based fault tolerant control for discrete-time switched linear system

Safe and Fault Tolerant Control of Industrial differential Drive Vehicles

differential drive vehicles are an integral of industrial operations, where precise control is essential for safety and efficiency. These vehicles often employ encoders for precise maneuvering through closed-loop control. In this scenario, system failures can result in uncontrolled movements, posing significant risks to human operators.To address this issue, this paper proposes a robust and fail-safe controller model that ensures vehicle safety, even in the face of multiple failure scenarios. The proposed model provides a comprehensive solution to address various potential problems encountered in industrial environments.Based on fault tolerance and control theory principles, our model incorporates innovative strategies to mitigate encoder failures, sensor malfunctions, and other related system faults. The design and performance of the controller are thoroughly analyzed to demonstrate its effectiveness in preventing catastrophic failures in industrial environments.

Fault tolerant control of an octorotor UAV using sliding mode for applications in challenging environments

This paper presents the development of fault-tolerant controller and their application for multirotor unmanned aerial vehicles – specifically an octorotor – in challenging environments e.g. nuclear power plant inspection or other dull, dirty and dangerous applications. This paper considers a combination of sliding mode control robustness properties (to deal with actuator faults) and control allocation (to automatically redistribute the control signals to healthy actuators, especially in the event of actuator failures). The resultant controller has the ability to operate in both fault-free and fault/failure conditions without reconfiguring the main baseline controller. The proposed controller also has the ability to operate for up to six rotor failures which represent an under-actuation condition i.e., a case when only two rotors are available. The under-actuation scenarios are conditions when most FTC schemes are not able to operate due to the lack of redundancy. The simulation results conducted on the nonlinear model with wind/gusts and sensor noise, show a good tracking performance under various fault-free and fault/failure scenarios (over-actuation, sufficient actuation and under-actuation conditions).

Event-Based Adaptive Fault Tolerant Control and Collision Avoidance of Wheel Mobile Robots With Communication Limits

Event-Based Adaptive Fault Tolerant Control and Collision Avoidance of Wheel Mobile Robots With Communication Limits

Redundant Configuration and Fault Tolerance Control Method for Enhanced Reliability of Energy Storage System

Redundant Configuration and Fault Tolerance Control Method for Enhanced Reliability of Energy Storage System

Fault-Tolerant Control and Diagnosis for Trajectory Tracking in a Class of Nonlinear Fractional Order Systems

This article deals with the Fault Tolerant Control (FTC) and Fault Diagnosis (FD) for trajectory tracking in a class of nonlinear Fractional Order (FO) systems. The proposed control scheme consists of a set of FO differential equations describing a FO dynamic controller, the estimation of the unknown pseudo-states of the system and faults, the estimators that are designed have different structures, therefore, this scheme can be considered as a hybrid type. In addition, the existence and uniqueness of the solution for the controller is proved using the Banach fixed point theorem. On the other hand, it is shown that the dynamic controller, estimators and the tracking error are globally Mittag-Leffler bounded ensuring the desired trajectory tracking, in consequence a separation principle for nonlinear FO systems is presented. This FO control scheme is illustrated by considering a FO chaotic system as an example.

RETRACTED: Data–Driven Adaptive Fault–Tolerant Control for Floating Offshore Wind Turbines

Floating offshore wind turbines have increased in popularity owing to their adaptability for deep-water applications and high power generation efficiency. The control of floating offshore wind turbines, on the other hand, is very complex. The main challenges are the difficulty in precisely modelling floating offshore wind turbines and the higher failure rate of components. As a consequence, this study proposes a model-free adaptive fault-tolerant control system for blade root moment sensor failures. A model-free adaptive control approach is used to construct an individual pitch controller and a fault compensation to avoid mathematical modelling of floating offshore wind turbines. The proposed fault-tolerant control technique removes the need for fault detection and isolation by converting the fault dynamic compensation process into a real-time control issue for nonlinear systems. The fatigue, aerodynamics, structures, and turbulence code simulates and tests the proposed control strategy, and the results show that the proposed strategy can not only keep the wheel bearing load balanced but also reduce the movement of the floating platform and significantly reduce the bearing load of the floating offshore wind turbines. Furthermore, the output power is closer to the rated power, proving the strategy’s high fault tolerance in the face of repeated blade root moment sensor faults.

Multiple Models-Based Fault Tolerant Control of Levitation Module of Maglev Vehicles against Partial Actuator Failures

Multiple Models-Based Fault Tolerant Control of Levitation Module of Maglev Vehicles against Partial Actuator Failures

Robust adaptive fault tolerant control for nonlinear systems with actuator failure and mismatched disturbance

In this paper, a class of nonlinear systems with mismatched disturbance and actuator failure is investigated. A disturbance observer is proposed to estimate the disturbance first and the error of the estimation converges to zero exponentially. By introducing an integral sliding mode surface, the disturbance observer-based integral sliding mode fault tolerant control scheme is proposed to attenuate the disturbance and guarantee the stability of the system. In particular, the control law is designed for decoupling the partial disturbance and attenuating the disturbance that cannot be decoupled. Finally, two examples are given to illustrate the effectiveness of the proposed method.

СИСТЕМА УПРАВЛЕНИЯ БЕЗОПАСНОСТЬЮ ПОЛЁТОВ ЛЕТАТЕЛЬНЫХ АППАРАТОВ С БАЗОВОЙ ВСТРОЕННОЙ СИСТЕМОЙ АВТОМАТИЧЕСКОГО ДОПУСКОВОГО КОНТРОЛЯ ГИДРАВЛИЧЕСКОЙ СИСТЕМЫ И СИСТЕМ МОНИТОРИНГА И ПРОГНОЗИРОВАНИЯ ОТКАЗОВ

This paper considers an integrated tolerance control system with failure monitoring and prediction subsystems for aircraft safety management system (ASMS), which is relevant nowadays. The paper deals with the operational component of hydraulic system (HS) tolerance zones. The internal measured parameter is pressure, so it was necessary to find an algorithm that reflects its dependence on operating conditions, its coefficient of kinematic viscosity of the fluid, its temperature, operating time, ambient temperature and flight stage. The operational component of the tolerance zone can be derived from the obtained expression for the pressure by substituting the boundary values of the parameters included in this dependence. While polling the sensors of the automatic control system it is necessary each time to calculate the range of variation of the parameter for the given stage of flight and other conditions with the help of algorithms for calculating the tolerance zone obtained in the paper. Moreover, the control system has to process a large amount of information using artificial intelligence (AI) methods which allows the safety of aircraft flight (SAF) to be managed.

Fault tolerant control of 4WIS based on failure event triggering and self-reconstruction model

Fault tolerant control of 4WIS based on failure event triggering and self-reconstruction model

Sensor Fault Tolerant Control in Modern and Green Power Applications: A Review

Sensor Fault Tolerant Control in Modern and Green Power Applications: A Review

Fault Tolerance Controller Design for the Safety Flight of the Quadcopter: Theory and Implementation

Fault Tolerance Controller Design for the Safety Flight of the Quadcopter: Theory and Implementation

Fault Tolerant Control of a Dual Star Induction Machine Drive System using Hybrid Fractional Controller

Abstract This paper presents a novel fault tolerant control (FTC) strategy for a dual star induction machine (DSIM) based on the combination of two types of robust controllers, namely a proportional resonant (PR) controller for current regulation and a fractional order PI (FOPI) for speed regulation. This FTC is associated with an indirect rotor indirect rotor field-oriented control (IRFOC) strategy. Fault feedforward compensation of the current components is introduced using the residual signal generated by the calculations passing through the PR controller. The fractional-order PI controller is applied as a feedforward fractional-order perturbation observer to the speed control loop, which attempts to minimise the error induced by the fault. In this context, a fault-tolerant control scheme is achieved. The performance characteristics of the proposed fault tolerant control for a dual star induction machine drive are compared with the fault tolerant control based on the conventional integer order IP (IOPI) to verify the effectiveness of the proposed FTC scheme under various conditions, by examining the robustness of the control in the presence of faults. To evaluate the performance of the proposed technique, simulation results are obtained using the Matlab/Simulink environment. According to the obtained simulation results, the proposed FTC system achieves significantly better responses than the conventional IRFOC system in terms of harmonics in the stator currents, and low oscillations in the electromagnetic torque response.

Reinforcement Learning-Based Fault Tolerant Control Design for Aero-Engines With Multiple Types of Faults

Reinforcement Learning-Based Fault Tolerant Control Design for Aero-Engines With Multiple Types of Faults

Bazı pamuk hatlarının tarla koşullarında Verticillium dahliae Kleb. solgunluğuna duyarlılıklarının belirlenmesi

Verticillium wilt caused by the soil-borne pathogen is one of the most significant diseases affecting the yield of cotton and is almost incurable with chemical agents. For this reason, it will be inevitable to cultivate resistant varieties. In this direction, this study was carried out to determine the response of cotton varieties and inbred lines obtained from cotton breeding projects of the GAP International Agricultural Research and Training Center (GAPUTAEM) in Diyarbakır, Türkiye to Verticillium wilt disease. The trial was conducted in a randomized complete block design with four replications during the 2016 and 2017 cotton growing seasons. In the study, 12 advanced inbred lines (8, 20, 30, 34, 38, 57, 58, 63, 64, 8/4, 5/7, and 8/1) and 3 control varieties [Stoneville 468, Carmen (tolerant control), and Çukurova-1518 (sensitive-control)] were tested for the response to Verticillium wilt under naturally infected field conditions. Disease severity was determined in the leaf at 5-10% and 50-60% of the boll opening stages and in the stem section after harvest. Additionally, some yield parameters and fiber quality properties were investigated in the study. The results indicated that there were significant differences among genotypes for most of the investigated characteristics.It was determined that with regard to foliar disease index (FDI) as mentioned boll opening stages and disease index of stem cross-section (SDI) the most tolerant genotype was inbred line 38, while the most sensitive variety was Çukurova-1518. As a result of their low disease index value and high yield capacity, the inbred lines 30, 57, 38, and 20 were recommended.

A Hybrid Fault Detection and Fault Tolerant Control Based on kNN and NN Approaches for ABS Speed Sensors

To perform fault tolerance for Anti-lock Braking System (ABS), This paper proposes a hybrid Fault Detection and Fault Tolerant Control (FD-FTC) for ABS speed sensors. It utilizes a Fault Detection (FD) unit and a Data Construction (DC) unit. The first one, the FD unit, is based on a kNN classifier model with 99.9% fault detection accuracy to perform three tasks: early fault detection, fault location diagnosis, and excluding faulty signals from being utilized in further processes. On the other hand, the second one, the DC Unit, is based on two separate neural network models. These models have an MSE of 2.01139e-1 and a R2 of 999880 for the first model and an MSE of 1.12486e-0 and 0.999586 for the second model. They are employed to provide an estimated alternative signal for the ABS speed sensors. These estimated signals are employed to perform two tasks: confirming fault detection declared by the FD model and compensating for the excluded faulty signal to fulfill fault accommodation. Both methods are trained and tested with MATLAB and Simulink. Results demonstrate that the proposed hybrid method has the ability to accurately detect and tolerate sensor faults and fulfill its design purpose, especially during emergency braking. Index Terms— Anti-lock Braking System, Fault Tolerant Control, k-Nearest Neighbour, Neural Networks, Speed Sensor Fault.

Research Progress of CRISPR/Cas9 Application in Rice Cultivation

Rice, being one of the world's most important staple crops, plays an important role in global food security and sustainable agriculture. The CRISPR/Cas9 gene editing technology has attracted widespread attention globally. With its precision and simplicity, rice breeding and research now heavily rely on the CRISPR gene editing method. The rice genome has been fully sequenced and intensively studied. Genome editing in rice holds great potential for variety improvement and agricultural production. In recent years, many studies have reported successful cases of gene knockout, point mutations, and targeted genome insertions using CRISPR-mediated genetic improvement strategies in rice. Using CRISPR gene editing technology to introduce new beneficial traits in rice, such as increased quality and nutritional value, disease resistance, stress tolerance, and greater control of rice growth and development has shown great potential. However, despite the broad prospects of CRISPR technology in rice, there are still many challenges and technical limitations to overcome, and issues regarding precision and safety remain unresolved. This review intended to provide an overview of the CRISPR technology's principles, methods, and researched progress in rice, as well as to analyze its possible benefits and difficulties in rice breeding while also providing information on its potential future applications.

Back Propagation Neural Network-Based Fault Diagnosis and Fault Tolerant Control of Distributed Drive Electric Vehicles Based on Sliding Mode Control-Based Direct Yaw Moment Control

Distributed-drive vehicles utilize independent drive motors on the four-wheel hubs. The working conditions of the wheel-hub motors are so harsh that the motors are prone to failing under different driving conditions. This study addresses the impact of drive motor faults on vehicle performance, particularly on slippery roads where sudden faults can lead to accidents. A fault-tolerant control system integrating motor fault diagnosis and a direct yaw moment control (DYC) based fault-tolerant controller are proposed to ensure the stability of the vehicle during various motor faults. Due to the difficulty of identifying the parameters of the popular permanent magnet synchronous wheel hub motors (PMSMs), the system employs a model-free backpropagation neural network (BPNN)-based fault detector. Turn-to-turn short circuits, open-phase faults, and diamagnetic faults are considered in this research. The fault detector is trained offline and utilizes rotor speed and phase currents for online fault detection. The system assigns the torque outputs from both healthy and faulted motors based on fault categories using sliding mode control (SMC)-based DYC. Simulations with four-wheel electric vehicle models demonstrate the accuracy of the fault detector and the effectiveness of the fault-tolerant controller. The proposed system is prospective and has potential for the development of distributed electric vehicles.

Neuro‐Adaptive Finite Time Composite Fault Tolerant Control for Attitude Control Systems of Satellites

AbstractAn adaptive finite time composite fault tolerant control strategy based on an optimized neural network for Attitude control systems (ACSs) of satellites is proposed considering the state time‐varying delays, concurrent actuator and sensor faults, system uncertainties, modelable external disturbance and operating noise. An uncertain time‐varying state space model for ACSs of satellites is established, and sensor faults are equivalent to actuator‐like faults. A disturbance observer is designed for estimating the modelable external disturbance, and an improved dwarf mongoose optimization (DMO) algorithm based on the Levy flight distribution is utilized to optimize the basis function of hyperbasis function neural networks to better estimate the augmented actuator faults that include the actuator fault and the actuator‐like fault. Furthermore, an adaptive finite time composite fault‐tolerant controller is proposed, which includes the delay‐dependent feedback control law, disturbance estimation based‐disturbance compensation law and the adaptive fault compensation law based on the augmented fault estimation using the improved DMO‐hyper basis function neural network. The finite time boundness of the close‐loop dynamics to the uncertainties, operating noise, and augmented actuator faults and the robustness of the measurement to the uncertainties, operating noise and augmented actuator faults are analyzed, and the observer and controller design is formulated as the linear matrix inequalities. Simulation examples for ACSs in different working conditions are considered to exhibit the proposed method's effectiveness.