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Relevant bibliographies by topics / Fault control

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Academic literature on the topic 'Fault control'

Author: Grafiati

Published: 4 June 2021

Last updated: 20 June 2025

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Journal articles on the topic "Fault control"

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Patan, Krzysztof, and Józef Korbicz. "Nonlinear model predictive control of a boiler unit: A fault tolerant control study." International Journal of Applied Mathematics and Computer Science 22, no. 1 (2012): 225–37. http://dx.doi.org/10.2478/v10006-012-0017-6.

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Nonlinear model predictive control of a boiler unit: A fault tolerant control studyThis paper deals with a nonlinear model predictive control designed for a boiler unit. The predictive controller is realized by means of a recurrent neural network which acts as a one-step ahead predictor. Then, based on the neural predictor, the control law is derived solving an optimization problem. Fault tolerant properties of the proposed control system are also investigated. A set of eight faulty scenarios is prepared to verify the quality of the fault tolerant control. Based of different faulty situations, a fault compensation problem is also investigated. As the automatic control system can hide faults from being observed, the control system is equipped with a fault detection block. The fault detection module designed using the one-step ahead predictor and constant thresholds informs the user about any abnormal behaviour of the system even in the cases when faults are quickly and reliably compensated by the predictive controller.

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Shahbaz, Muhammad Hamza, and Arslan Ahmed Amin. "Design of hybrid fault-tolerant control system for air-fuel ratio control of internal combustion engines using artificial neural network and sliding mode control against sensor faults." Advances in Mechanical Engineering 15, no. 3 (2023): 168781322311607. http://dx.doi.org/10.1177/16878132231160729.

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This paper proposes a novel hybrid fault-tolerant control system (HFTCS) with dedicated non-linear controllers: artificial neural network (ANN) and sliding mode control (SMC) for active and passive parts, respectively. The proposed system can provide both desirable properties of stability to unexpected fast disturbances and post-fault optimal performance. In the active fault tolerant control system (AFTCS) part, the fault detection and isolation (FDI) unit is designed through the use of ANN for the estimation of faulty sensor values in the observer model. In the passive fault-tolerant system (PFTCS) part, the air-fuel ratio (AFR) controller is designed using a robust SMC that allows systems to manage faults in predefined limits without estimation. In the proposed system, SMC will form the passive part to react instantly to faults while ANN will optimize post-fault performance with active compensation. Moreover, Lyapunov stability analysis was also performed to make sure that the system remains stable in both normal and faulty conditions. The simulation results in the Matlab/Simulink environment show that the designed controller is robust to faults in normal and noisy measurements of the sensors. A comparison with the existing works also demonstrates the superior performance of the proposed hybrid algorithm.

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Unal, Gulay. "Integrated design of fault-tolerant control for flight control systems using observer and fuzzy logic." Aircraft Engineering and Aerospace Technology 93, no. 4 (2021): 723–32. http://dx.doi.org/10.1108/aeat-12-2020-0293.

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Purpose Fault detection, isolation and reconfiguration of the flight control system is an important problem to obtain healthy flight. This paper aims to propose an integrated approach for aircraft fault-tolerant control. Design/methodology/approach The integrated structure includes a Kalman filter to obtain without noise, a full order observer for sensor fault detection, a GOS (generalized observer scheme) for sensor fault isolation and a fuzzy controller to reconfigure of the healthy sensor. This combination is simulated using the state space model of a lateral flight control system in case of disturbance and under sensor fault scenario. Findings Using a dedicated observer scheme, the detection and time of sensor fault are correct, but the sensor fault isolation is evaluated incorrectly while the faulty sensor is isolated correctly using GOS. The simulation results show that the suggested approach works affectively for sensor faults with disturbance. Originality/value This paper proposes an integrated approach for aircraft fault-tolerant control. Under this framework, three units are designed, one is Kalman filter for filtering and the other is GOS for sensor fault isolation and another is fuzzy logic for reconfiguration. An integrated approach is sensitive to faults that have disturbances. The simulation results show the proposed integrated approach can be used for any linear system.

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Liu, Fuqiang, Yan Long, Jun Luo, Huayan Pu, Chaoqun Duan, and Songyi Zhong. "Active Fault Localization of Actuators on Torpedo-Shaped Autonomous Underwater Vehicles." Sensors 21, no. 2 (2021): 476. http://dx.doi.org/10.3390/s21020476.

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To ensure the mission implementation of Autonomous Underwater Vehicles (AUVs), faults occurring on actuators should be detected and located promptly; therefore, reliable control strategies and inputs can be effectively provided. In this paper, faults occurring on the propulsion and attitude control systems of a torpedo-shaped AUV are analyzed and located while fault features may induce confusions for conventional fault localization (FL). Selective features of defined fault parameters are assorted as necessary conditions against different faulty actuators and synthesized in a fault tree subsequently to state the sufficiency towards possible abnormal parts. By matching fault features with those of estimated fault parameters, suspected faulty sections are located. Thereafter, active FL strategies that analyze the related fault parameters after executing purposive actuator control are proposed to provide precise fault location. Moreover, the generality of the proposed methods is analyzed to support extensive implementations. Simulations based on finite element analysis against a torpedo-shaped AUV with actuator faults are carried out to illustrate the effectiveness of the proposed methods.

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Liu, Fuqiang, Yan Long, Jun Luo, Huayan Pu, Chaoqun Duan, and Songyi Zhong. "Active Fault Localization of Actuators on Torpedo-Shaped Autonomous Underwater Vehicles." Sensors 21, no. 2 (2021): 476. http://dx.doi.org/10.3390/s21020476.

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To ensure the mission implementation of Autonomous Underwater Vehicles (AUVs), faults occurring on actuators should be detected and located promptly; therefore, reliable control strategies and inputs can be effectively provided. In this paper, faults occurring on the propulsion and attitude control systems of a torpedo-shaped AUV are analyzed and located while fault features may induce confusions for conventional fault localization (FL). Selective features of defined fault parameters are assorted as necessary conditions against different faulty actuators and synthesized in a fault tree subsequently to state the sufficiency towards possible abnormal parts. By matching fault features with those of estimated fault parameters, suspected faulty sections are located. Thereafter, active FL strategies that analyze the related fault parameters after executing purposive actuator control are proposed to provide precise fault location. Moreover, the generality of the proposed methods is analyzed to support extensive implementations. Simulations based on finite element analysis against a torpedo-shaped AUV with actuator faults are carried out to illustrate the effectiveness of the proposed methods.

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Chen, Yimin, Shaowen Hao, Jian Gao, Jiarun Wang, and Le Li. "Fault-Tolerant Model Predictive Control for Autonomous Underwater Vehicles Considering Unknown Disturbances." Journal of Marine Science and Engineering 13, no. 1 (2025): 171. https://doi.org/10.3390/jmse13010171.

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This paper presents a fault-tolerant model predictive control approach for cross-rudder autonomous underwater vehicles to achieve heading control, considering rudder stuck faults and unknown disturbances. Specifically, additive faults in the rudders are addressed, and an active fault-tolerant control strategy is employed. Fault models of autonomous underwater vehicles have been established to develop the fault-tolerant control method. In the controller design, the stuck faults of complete rudder failure are incorporated to ensure the heading angle control of the autonomous underwater vehicle in faulty conditions. Furthermore, the fault term is decoupled from the control input, and the decoupled control input, along with corresponding constraints, is incorporated into the model’s predictive controller design. This approach facilitates controller reconfiguration, thereby enhancing and optimizing control performance. Simulation results demonstrate that the proposed fault-tolerant model predictive control method can effectively achieve stable navigation and heading adjustment under rudder fault conditions in autonomous underwater vehicles.

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Amin, Arslan Ahmed, and Khalid Mahmood-ul-Hasan. "Hybrid fault tolerant control for air–fuel ratio control of internal combustion gasoline engine using Kalman filters with advanced redundancy." Measurement and Control 52, no. 5-6 (2019): 473–92. http://dx.doi.org/10.1177/0020294019842593.

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In this paper, a hybrid fault tolerant control system is proposed for air–fuel ratio control of internal combustion gasoline engines based on Kalman filters and triple modular redundancy. Hybrid fault tolerant control system possesses properties of both active fault tolerant control system and passive fault tolerant control system. As part of active fault tolerant control system, fault detection and isolation unit is designed using Kalman filters to provide estimated values of the sensors to the engine controller in case of faults in the sensors. As part of passive fault tolerant control system, a dedicated proportional–integral feedback controller is incorporated to maintain air–fuel ratio by adjusting the throttle actuator in the fuel supply line in faulty and noisy conditions for robustness to faults and sensors’ noise. Redundancy is proposed in the sensors and actuators as a simultaneous failure of more than one sensor, and failure of the single actuator will cause the engine shutdown. Advanced redundancy protocol triple modular redundancy is proposed for the sensors and dual redundancy is proposed for actuators. Simulation results in the MATLAB Simulink environment show that the proposed system remains stable during faults in the sensors and actuators. It also maintains air–fuel ratio without any degradation in the faulty conditions and is robust to noise. Finally, the probabilistic reliability analysis of the proposed model is carried out. The study shows that the proposed hybrid fault tolerant control system with redundant components presents a novel and highly reliable solution for the air–fuel ratio control in internal combustion engines to prevent engine shutdown and production loss for greater profits.

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Georges, Jean-Philippe, Didier Theilliol, Vincent Cocquempot, Jean-Christophe Ponsart, and Christophe Aubrun. "Fault tolerance in networked control systems under intermittent observations." International Journal of Applied Mathematics and Computer Science 21, no. 4 (2011): 639–48. http://dx.doi.org/10.2478/v10006-011-0050-x.

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Fault tolerance in networked control systems under intermittent observationsThis paper presents an approach to fault tolerant control based on the sensor masking principle in the case of wireless networked control systems. With wireless transmission, packet losses act as sensor faults. In the presence of such faults, the faulty measurements corrupt directly the behaviour of closed-loop systems. Since the controller aims at cancelling the error between the measurement and its reference input, the real outputs will, in such a networked control system, deviate from the desired value and may drive the system to its physical limitations or even to instability. The proposed method facilitates fault compensation based on an interacting multiple model approach developed in the framework of channel errors or network congestion equivalent to multiple sensors failures. The interacting multiple model method involved in a networked control system provides simultaneously detection and isolation of on-line packet losses, and also performs a suitable state estimation. Based on particular knowledge of packet losses, sensor fault-tolerant controls are obtained by computing a new control law using fault-free estimation of the faulty element to avoid intermittent observations that might develop into failures and to minimize the effects on system performance and safety.

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Fritz, Raphael, and Ping Zhang. "Fault-tolerant tracking control of petri nets." at - Automatisierungstechnik 66, no. 1 (2018): 30–40. http://dx.doi.org/10.1515/auto-2017-0090.

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Abstract In this paper, the fault-tolerant tracking control of petri nets is considered. The control aim is to steer a petri net in case of faults from an initial marking into a destination marking by an appropriate firing sequence. Sensor, actuator and process faults in the plant are modeled based on four types of faulty transitions. Depending on the characteristics of the faults, two approaches are proposed to handle the faults. The tracking control problem is realized by solving two integer linear programming problems. This two-step approach reduces the computational effort significantly. Faults are taken into account as constraints and by adapting the firing sequence. Finally, an example is given to illustrate the proposed fault-tolerant tracking control approach.

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Nguyen, Ngoc Phi, and Sung Kyung Hong. "Active Fault-Tolerant Control of a Quadcopter against Time-Varying Actuator Faults and Saturations Using Sliding Mode Backstepping Approach." Applied Sciences 9, no. 19 (2019): 4010. http://dx.doi.org/10.3390/app9194010.

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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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Dissertations / Theses on the topic "Fault control"

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Avram, Remus C. "Fault Diagnosis and Fault-Tolerant Control of Quadrotor UAVs." Wright State University / OhioLINK, 2016. http://rave.ohiolink.edu/etdc/view?acc_num=wright1464343320.

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Tutivén, Gálvez Christian. "Fault detection and fault tolerant control in wind turbines." Doctoral thesis, Universitat Politècnica de Catalunya, 2018. http://hdl.handle.net/10803/663289.

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Renewable energy is an important sustainable energy in the world. Up to now, as an essential part of low emissions energy in a lot of countries, renewable energy has been important to the national energy security, and played a significant role in reducing carbon emissions. It comes from natural resources, such as wind, solar, rain, tides, biomass, and geothermal heat. Among them, wind energy is rapidly emerging as a low carbon, resource efficient, cost effective sustainable technology in the world. Due to the demand of higher power production installations with less environmental impacts, the continuous increase in size of wind turbines and the recently developed offshore (floating) technologies have led to new challenges in the wind turbine systems.Wind turbines (WTs) are complex systems with large flexible structures that work under very turbulent and unpredictable environmental conditions for a variable electrical grid. The maximization of wind energy conversion systems, load reduction strategies, mechanical fatigue minimization problems, costs per kilowatt hour reduction strategies, reliability matters, stability problems, and availability (sustainability) aspects demand the use of advanced (multivariable and multiobjective) cooperative control systems to regulate variables such as pitch, torque, power, rotor speed, power factors of every wind turbine, etc. Meanwhile, with increasing demands for efficiency and product quality and progressing integration of automatic control systems in high-cost and safety-critical processes, the fields of fault detection and isolation (FDI) and fault tolerant control (FTC) play an important role. This thesis covers the theoretical development and also the implementation of different FDI and FTC techniques in WTs. The purpose of wind turbine FDI systems is to detect and locate degradations and failures in the operation of WT components as early as possible, so that maintenance operations can be performed in due time (e.g., during time periods with low wind speed). Therefore, the number of costly corrective maintenance actions can be reduced and consequently the loss of wind power production due to maintenance operations is minimized. The objective of FTC is to design appropriate controllers such that the resulting closed-loop system can tolerate abnormal operations of specific control components and retain overall system stability with acceptable system performance. Different FDI and FTC contributions are presented in this thesis and published in different JCR-indexed journals and international conference proceedings. These contributions embrace a wide range of realistic WTs faults as well as different WTs types (onshore, fixed offshore, and floating). In the first main contribution, the normalized gradient method is used to estimate the pitch actuator parameters to be able to detect faults in it. In this case, an onshore WT is used for the simulations. Second contribution involves not only to detect faults but also to isolate them in the pitch actuator system. To achieve this, a discrete-time domain disturbance compensator with a controller to detect and isolate pitch actuator faults is designed. Third main contribution designs a super-twisting controller by using feedback of the fore-aft and side-to-side acceleration signals of the WT tower to provide fault tolerance capabilities to the WT and improve the overall performance of the system. In this instance, a fixed-jacket offshore WT is used. Throughout the aforementioned research, it was observed that some faults induce to saturation of the control signal leading to system instability. To preclude that problem, the fourth contribution of this thesis designs a dynamic reference trajectory based on hysteresis. Finally, the fifth and last contribution is related to floating-barge WTs and the challenges that this WTs face. The performance of the proposed contributions are tested in simulations with the aero-elastic code FAST.<br>La energía renovable es una energía sustentable importante en el mundo. Hasta ahora, como parte esencial de la energía de bajas emisiones en muchos países, la energía renovable ha sido importante para la seguridad energética nacional, y jugó un papel importante en la reducción de las emisiones de carbono. Proviene de recursos naturales, como el viento, la energía solar, la lluvia, las mareas, la biomasa y el calor geotérmico. Entre ellos, la energía eólica está emergiendo rápidamente como una tecnología sostenible de bajo carbono, eficiente en el uso de los recursos y rentable en el mundo. Debido a la demanda de instalaciones de producción de mayor potencia con menos impactos ambientales, el aumento continuo en el tamaño de las turbinas eólicas y las tecnologías offshore (flotantes) recientemente desarrolladas han llevado a nuevos desafíos en los sistemas de turbinas eólicas. Las turbinas eólicas son sistemas complejos con grandes estructuras flexibles que funcionan en condiciones ambientales muy turbulentas e impredecibles para una red eléctrica variable. La maximización de los sistemas de conversión de energía eólica, los problemas de minimización de la fatiga mecánica, los costos por kilovatios-hora de estrategias de reducción, cuestiones de confiabilidad, problemas de estabilidad y disponibilidad (sostenibilidad) exigen el uso de sistemas avanzados de control cooperativo (multivariable y multiobjetivo) para regular variables tales como paso, par, potencia, velocidad del rotor, factores de potencia de cada aerogenerador, etc. Mientras tanto, con las crecientes demandas de eficiencia y calidad del producto y la progresiva integración de los sistemas de control automático en los procesos de alto costo y de seguridad crítica, los campos de detección y aislamiento de fallos (FDI) y control tolerante a fallos (FTC) juegan un papel importante. Esta tesis cubre el desarrollo teórico y también la implementación de diferentes técnicas de FDI y FTC en turbinas eólicas. El propósito de los sistemas FDI es detectar y ubicar las degradaciones y fallos en la operación de los componentes tan pronto como sea posible, de modo que las operaciones de mantenimiento puedan realizarse a su debido tiempo (por ejemplo, durante periodos con baja velocidad del viento). Por lo tanto, se puede reducir el número de costosas acciones de mantenimiento correctivo y, en consecuencia, se reduce al mínimo la pérdida de producción de energía eólica debido a las operaciones de mantenimiento. El objetivo de la FTC es diseñar controladores apropiados de modo que el sistema de bucle cerrado resultante pueda tolerar operaciones anormales de componentes de control específicos y retener la estabilidad general del sistema con un rendimiento aceptable del sistema. Diferentes contribuciones de FDI y FTC se presentan en esta tesis y se publican en diferentes revistas indexadas a JCR y en congresos internacionales. Estas contribuciones abarcan una amplia gama de fallos WTs realistas, así como diferentes tipos de turbinas (en tierra, en alta mar ancladas al fondo del mar y flotantes). El rendimiento de las contribuciones propuestas se prueba en simulaciones con el código aeroelástico FAST.

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Wang, Haibo, and 王海波. "Fault detection and fault-tolerant control for dynamic systems." Thesis, The University of Hong Kong (Pokfulam, Hong Kong), 2002. http://hub.hku.hk/bib/B42576842.

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Nie, Chenglei. "Observer-based robust fault estimation for fault-tolerant control." Thesis, University of Hull, 2012. http://hydra.hull.ac.uk/resources/hull:6901.

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A control system is fault-tolerant if it possesses the capability of optimizing the system stability and admissible performance subject to bounded faults, complexity and modeling uncertainty. Based on this definition this thesis is concerned with the theoretical developments of the combination of robust fault estimation (FE) and robust active fault tolerant control (AFTC) for systems with both faults and uncertainties. This thesis develops robust strategies for AFTC involving a joint problem of on-line robust FE and robust adaptive control. The disturbances and modeling uncertainty affect the FE and FTC performance. Hence, the proposed robust observer-based fault estimator schemes are combined with several control methods to achieve the desired system performance and robust active fault tolerance. The controller approaches involve concepts of output feedback control, adaptive control, robust observer-based state feedback control. A new robust FE method has been developed initially to take into account the joint effect of both fault and disturbance signals, thereby rejecting the disturbances and enhancing the accuracy of the fault estimation. This is then extended to encompass the robustness with respect to modeling uncertainty. As an extension to the robust FE and FTC scheme a further development is made for direct application to smooth non-linear systems via the use of linear parameter-varying systems (LPV) modeling. The main contributions of the research are thus: - The development of a robust observer-based FE method and integration design for the FE and AFTC systems with the bounded time derivative fault magnitudes, providing the solution based on linear matrix inequality (LMI) methodology. A stability proof for the integrated design of the robust FE within the FTC system. - An improvement is given to the proposed robust observer-based FE method and integrated design for FE and AFTC systems under the existence of different disturbance structures. - New guidance for the choice of learning rate of the robust FE algorithm. - Some improvement compared with the recent literature by considering the FTC problem in a more general way, for example by using LPV modeling.

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ZHANG, XIAODONG. "FAULT DIAGNOSIS AND FAULT-TOLERANT CONTROL IN NONLINEAR SYSTEMS." University of Cincinnati / OhioLINK, 2002. http://rave.ohiolink.edu/etdc/view?acc_num=ucin1021937028.

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Wang, Haibo. "Fault detection and fault-tolerant control for dynamic systems." Click to view the E-thesis via HKUTO, 2002. http://sunzi.lib.hku.hk/hkuto/record/B42576842.

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Baldi, Pietro <1981&gt. "Fault detection, diagnosis and active fault tolerant control for a satellite attitude control system." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/6983/1/Baldi_Pietro_tesi.pdf.

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Modern control systems are becoming more and more complex and control algorithms more and more sophisticated. Consequently, Fault Detection and Diagnosis (FDD) and Fault Tolerant Control (FTC) have gained central importance over the past decades, due to the increasing requirements of availability, cost efficiency, reliability and operating safety. This thesis deals with the FDD and FTC problems in a spacecraft Attitude Determination and Control System (ADCS). Firstly, the detailed nonlinear models of the spacecraft attitude dynamics and kinematics are described, along with the dynamic models of the actuators and main external disturbance sources. The considered ADCS is composed of an array of four redundant reaction wheels. A set of sensors provides satellite angular velocity, attitude and flywheel spin rate information. Then, general overviews of the Fault Detection and Isolation (FDI), Fault Estimation (FE) and Fault Tolerant Control (FTC) problems are presented, and the design and implementation of a novel diagnosis system is described. The system consists of a FDI module composed of properly organized model-based residual filters, exploiting the available input and output information for the detection and localization of an occurred fault. A proper fault mapping procedure and the nonlinear geometric approach are exploited to design residual filters explicitly decoupled from the external aerodynamic disturbance and sensitive to specific sets of faults. The subsequent use of suitable adaptive FE algorithms, based on the exploitation of radial basis function neural networks, allows to obtain accurate fault estimations. Finally, this estimation is actively exploited in a FTC scheme to achieve a suitable fault accommodation and guarantee the desired control performances. A standard sliding mode controller is implemented for attitude stabilization and control. Several simulation results are given to highlight the performances of the overall designed system in case of different types of faults affecting the ADCS actuators and sensors.

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Baldi, Pietro <1981&gt. "Fault detection, diagnosis and active fault tolerant control for a satellite attitude control system." Doctoral thesis, Alma Mater Studiorum - Università di Bologna, 2015. http://amsdottorato.unibo.it/6983/.

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Modern control systems are becoming more and more complex and control algorithms more and more sophisticated. Consequently, Fault Detection and Diagnosis (FDD) and Fault Tolerant Control (FTC) have gained central importance over the past decades, due to the increasing requirements of availability, cost efficiency, reliability and operating safety. This thesis deals with the FDD and FTC problems in a spacecraft Attitude Determination and Control System (ADCS). Firstly, the detailed nonlinear models of the spacecraft attitude dynamics and kinematics are described, along with the dynamic models of the actuators and main external disturbance sources. The considered ADCS is composed of an array of four redundant reaction wheels. A set of sensors provides satellite angular velocity, attitude and flywheel spin rate information. Then, general overviews of the Fault Detection and Isolation (FDI), Fault Estimation (FE) and Fault Tolerant Control (FTC) problems are presented, and the design and implementation of a novel diagnosis system is described. The system consists of a FDI module composed of properly organized model-based residual filters, exploiting the available input and output information for the detection and localization of an occurred fault. A proper fault mapping procedure and the nonlinear geometric approach are exploited to design residual filters explicitly decoupled from the external aerodynamic disturbance and sensitive to specific sets of faults. The subsequent use of suitable adaptive FE algorithms, based on the exploitation of radial basis function neural networks, allows to obtain accurate fault estimations. Finally, this estimation is actively exploited in a FTC scheme to achieve a suitable fault accommodation and guarantee the desired control performances. A standard sliding mode controller is implemented for attitude stabilization and control. Several simulation results are given to highlight the performances of the overall designed system in case of different types of faults affecting the ADCS actuators and sensors.

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Park, Jee-Hun. "Studies on Fault-Tolerant Control." 京都大学 (Kyoto University), 2011. http://hdl.handle.net/2433/151939.

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Zhao, Qing. "Fault tolerant control systems design." Thesis, National Library of Canada = Bibliothèque nationale du Canada, 1999. http://www.collectionscanada.ca/obj/s4/f2/dsk1/tape8/PQDD_0012/NQ42559.pdf.

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Books on the topic "Fault control"

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Mhaskar, Prashant, Jinfeng Liu, and Panagiotis D. Christofides. Fault-Tolerant Process Control. Springer London, 2013. http://dx.doi.org/10.1007/978-1-4471-4808-1.

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Edwards, Christopher, Thomas Lombaerts, and Hafid Smaili, eds. Fault Tolerant Flight Control. Springer Berlin Heidelberg, 2010. http://dx.doi.org/10.1007/978-3-642-11690-2.

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Noura, Hassan, Didier Theilliol, Jean-Christophe Ponsart, and Abbas Chamseddine. Fault-tolerant Control Systems. Springer London, 2009. http://dx.doi.org/10.1007/978-1-84882-653-3.

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Shen, Qikun, Bin Jiang, and Peng Shi. Fault Diagnosis and Fault-Tolerant Control Based on Adaptive Control Approach. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-52530-3.

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Li, Linlin. Fault Detection and Fault-Tolerant Control for Nonlinear Systems. Springer Fachmedien Wiesbaden, 2016. http://dx.doi.org/10.1007/978-3-658-13020-6.

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Alwi, Halim, Christopher Edwards, and Chee Pin Tan. Fault Detection and Fault-Tolerant Control Using Sliding Modes. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-650-4.

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X. Ding, Steven. Advanced methods for fault diagnosis and fault-tolerant control. Springer Berlin Heidelberg, 2021. http://dx.doi.org/10.1007/978-3-662-62004-5.

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Alwi, Halim. Fault Detection and Fault-Tolerant Control Using Sliding Modes. Springer-Verlag London Limited, 2011.

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Jain, Tushar, Joseph J. Yamé, and Dominique Sauter. Active Fault-Tolerant Control Systems. Springer International Publishing, 2018. http://dx.doi.org/10.1007/978-3-319-68829-9.

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Blanke, Mogens, Michel Kinnaert, Jan Lunze, and Marcel Staroswiecki. Diagnosis and Fault-Tolerant Control. Springer Berlin Heidelberg, 2003. http://dx.doi.org/10.1007/978-3-662-05344-7.

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Book chapters on the topic "Fault control"

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Caccavale, Fabrizio, Mario Iamarino, Francesco Pierri, and Vincenzo Tufano. "Fault Diagnosis." In Advances in Industrial Control. Springer London, 2011. http://dx.doi.org/10.1007/978-0-85729-195-0_6.

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Escobet, Teresa, Ramon Sarrate, and Ramon Comasolivas. "Fault Diagnosis." In Advances in Industrial Control. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-50751-4_11.

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Rao, Ming, Qijun Xia, and Yiqun Ying. "Fault-Tolerant Control." In Modeling and Advanced Control for Process Industries. Springer London, 1994. http://dx.doi.org/10.1007/978-1-4471-2094-0_6.

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Ding, Ruqi, and Min Cheng. "Fault-Tolerant Control." In Independent Metering Electro-Hydraulic Control System. Springer Nature Singapore, 2024. http://dx.doi.org/10.1007/978-981-99-6372-0_6.

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Stetter, Ralf. "Fault-Tolerant Control." In Fault-Tolerant Design and Control of Automated Vehicles and Processes. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-12846-3_2.

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Patton, Ron J. "Fault-Tolerant Control." In Encyclopedia of Systems and Control. Springer London, 2015. http://dx.doi.org/10.1007/978-1-4471-5058-9_226.

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Patton, Ron J. "Fault-Tolerant Control." In Encyclopedia of Systems and Control. Springer London, 2014. http://dx.doi.org/10.1007/978-1-4471-5102-9_226-1.

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Borutzky, Wolfgang. "Fault Tolerant Control." In Bond Graph Modelling for Control, Fault Diagnosis and Failure Prognosis. Springer International Publishing, 2020. http://dx.doi.org/10.1007/978-3-030-60967-2_5.

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Patton, Ron J. "Fault-Tolerant Control." In Encyclopedia of Systems and Control. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-44184-5_226.

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Hamayun, Mirza Tariq, Christopher Edwards, and Halim Alwi. "Fault Tolerant Control." In Fault Tolerant Control Schemes Using Integral Sliding Modes. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-32238-4_1.

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Conference papers on the topic "Fault control"

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Cai, Xuejing, and Fen Wu. "A Multiobjective Solution Approach to Fault Detection and Isolation of LPV Systems." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2154.

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In this paper, we consider the fault Detection and isolation (FDI) problem for faulty linear parameter-varying (LPV) systems subject to disturbances and propose a observer-based solution by using multiobjective optimization techniques. To simply the design process, a general faulty LPV system will be constructed from standard LPV description by converting actuator/system component faults into sensor faults at first. Then a bank of LPV FDI filters will be designed to identify each fault. Each FDI filter could generate a residual signal to track individual fault with minimum error and suppressing the effects of disturbances and other fault signals. The design of FDI filters will be formulated as multiobjective optimization problems in terms of linear matrix inequalities (LMIs) and can be solved efficiently. Two numerical examples are also presented to demonstrate the proposed fault detection and isolation approach on both LPV and LTI systems.

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Sadeghzadeh, Iman, Ankit Mehta, and Youmin Zhang. "Fault Tolerant Control of a Quadrotor Helicopter Using Model Reference Adaptive Control." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48755.

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This paper proposes a useful approach to Fault Tolerant Control (FTC) based on the Model Reference Adaptive Control (MRAC) technique with application to a quadrotor helicopter Unmanned Aerial Vehicle (UAV) in hovering as well as trajectory tracking flight in order to control and keep the desired height and trajectory of the quadrotor helicopter in both normal conditions and in the presence of faults in one or more actuators. A Linear Quadratic Regulator (LQR) controller is used in cooperation with the MRAC to control the pitch and roll attitude of the helicopter. Three cases of fault are considered: 1) simulated fault in all the four actuators; 2) simulated fault in back and right motors; 3) a physical damage of 23% of one of the four propellers during autonomous flight. It can be seen from the test results that under the faulty and damage conditions MRAC controller provided a good response of the quadrotor UAV and result in safe landings of the quadrotor.

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Chen, Xianbao, Chenkun Qi, Feng Gao, Xinghua Tian, Xianchao Zhao, and Hongnian Yu. "Fault-tolerant gait a quadruped robot with partially fault legs." In 2014 UKACC International Conference on Control (CONTROL). IEEE, 2014. http://dx.doi.org/10.1109/control.2014.6915192.

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Sun, Xiaoyu, Ron J. Patton, and Philippe Goupil. "Robust adaptive fault estimation for a commercial aircraft oscillatory fault scenario." In 2012 UKACC International Conference on Control (CONTROL). IEEE, 2012. http://dx.doi.org/10.1109/control.2012.6334697.

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Baehr, Joachim, and Rolf Isermann. "Fault Diagnosis for a Three Mass Torsion Oscillator Using a Bank of Fault Models." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2109.

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A fault diagnosis method for a three mass torsion oscillator is considered which is subject to different additive faults. By using a bank of fault models three faults of different type are detected, isolated and identified in size and time of occurrence. The bank of fault models is formed by a model of each considered fault. Comparison of simulated fault model outputs and measured signals leads to fault isolation. Fault size and time of occurrence are identified by a parity equation approach and used as fault model parameters. The method is capable to perform the tasks with use of one actuator and one sensor signal. It is shown that common approaches for fault isolation can not be used due to the small number of measured signals.

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Li, Tong, Youmin Zhang, and Brandon Gordon. "Fault Tolerant Control Applied to a Quadrotor Unmanned Helicopter." In ASME 2011 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. ASMEDC, 2011. http://dx.doi.org/10.1115/detc2011-48806.

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In this paper, two sliding mode based fault tolerant control (SM-FTC) strategies are designed, implemented and flight-tested in a physical quadrotor unmanned helicopter under the propeller damage and actuator fault conditions. Sliding model control (SMC) is well known for its capability of handling uncertainty and is expected to be a robust controller. Based on the concept of sliding mode control, both passive and active fault tolerant controls have been designed and experimentally tested on a quadrotor UAV (unmanned aerial vehicle) test-bed, known as Qball-X4, available at Concordia University in the presence of actuator faults and propeller damages. These two types of controllers are carried out and compared through theoretical analysis, simulation, and experimental flight tests on the quadrotor UAV system. Good control performance has been achieved in the presence of actuator faults and propeller damages.

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Suozzo, Chris, Simona Onori, and Giorgio Rizzoni. "Model-Based Fault Diagnosis for NiMH Battery." In ASME 2008 Dynamic Systems and Control Conference. ASMEDC, 2008. http://dx.doi.org/10.1115/dscc2008-2248.

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The objective of this paper is to present a fault diagnosis methodology for hybrid electric vehicle battery systems. The faults that have been considered include: temperature sensor fault, current sensor fault, and voltage sensor. Many of these faults, if left undetected, will result in decreased battery performance and could eventually lead to pack failure.

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Zhang, Jiyu, Giorgio Rizzoni, and Qadeer Ahmed. "Fault Modelling for Hierarchical Fault Diagnosis and Prognosis." In ASME 2013 Dynamic Systems and Control Conference. American Society of Mechanical Engineers, 2013. http://dx.doi.org/10.1115/dscc2013-3825.

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Fault modeling, which is the determination of the effects of a fault on a system, is an effective way for conducting failure analysis and fault diagnosis for complex system. One of the major challenges of fault modeling in complex systems is the ability to model the effects of component-level faults on the system. This paper develops a simulation-based methodology for failure analysis through modeling component-level fault effect on the system level, with application to electric vehicle powertrains. To investigate how a component fault such as short circuit in a power switch or open circuit in a motor winding affects the vehicle system, this paper develops a detailed simulator which allows us to see system and subsystem failure behaviors by incorporating fault models in the system. This fault modeling process provides useful knowledge for designing a reliable and robust fault diagnosis and prognosis procedures for electrified powertrains.

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Baldini, A., L. Ciabattoni, R. Felicetti, et al. "Active Fault Tolerant Control of Remotely Operated Vehicles via Control Effort Redistribution." In ASME 2017 International Design Engineering Technical Conferences and Computers and Information in Engineering Conference. American Society of Mechanical Engineers, 2017. http://dx.doi.org/10.1115/detc2017-67760.

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An active fault tolerant control technique for Underwater Remotely Operated Vehicles is proposed in this paper. The main objective is to develop a controller for the tracking problem, which is robust against possible actuator faults and failures. The main advantage of the proposed fault tolerant control scheme is to develop a unique controller, and thus a unique set of control parameters, regardless the presence of faults and failures. This is achieved through a redistribution of the control effort on the healthy actuators. Simulation results are provided to demonstrate the viability of the proposed fault accommodating technique.

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Rajamani, Rajesh, J. Karl Hedrick, and Adam Howell. "A Complete Fault Diagnostic System for Longitudinal Control of Automated Vehicles." In ASME 1997 International Mechanical Engineering Congress and Exposition. American Society of Mechanical Engineers, 1997. http://dx.doi.org/10.1115/imece1997-0461.

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Abstract A complete system for fault diagnostics of the longitudinal controllers in a platoon of automated vehicles is developed. The diagnostic system is designed to provide automated monitoring and fault identification of all the sensors and actuators used in the longitudinal control system, including radar sensors and inter-vehicle communication. The system uses several reduced-order nonlinear observers constructed from a longitudinal dynamic model of the vehicle. Multiple estimates of signals are obtained by designing each observer to utilize a different sensor measurement. Different combinations of all the available sensor signals and the observer estimates are then processed to construct a bank of 10 different residues. We show analytically that a fault in any of the sensors or actuators creates a unique subset of these residues to grow so as to enable exact identification of the faulty component. Simulation results are presented to demonstrate the working of the fault diagnostic system in the presence of various faults.

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Reports on the topic "Fault control"

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Seginer, Ido, Louis D. Albright, and Robert W. Langhans. On-line Fault Detection and Diagnosis for Greenhouse Environmental Control. United States Department of Agriculture, 2001. http://dx.doi.org/10.32747/2001.7575271.bard.

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Background Early detection and identification of faulty greenhouse operation is essential, if losses are to be minimized by taking immediate corrective actions. Automatic detection and identification would also free the greenhouse manager to tend to his other business. Original objectives The general objective was to develop a method, or methods, for the detection, identification and accommodation of faults in the greenhouse. More specific objectives were as follows: 1. Develop accurate systems models, which will enable the detection of small deviations from normal behavior (of sensors, control, structure and crop). 2. Using these models, develop algorithms for an early detection of deviations from the normal. 3. Develop identifying procedures for the most important faults. 4. Develop accommodation procedures while awaiting a repair. The Technion team focused on the shoot environment and the Cornell University team focused on the root environment. Achievements Models: Accurate models were developed for both shoot and root environment in the greenhouse, utilizing neural networks, sometimes combined with robust physical models (hybrid models). Suitable adaptation methods were also successfully developed. The accuracy was sufficient to allow detection of frequently occurring sensor and equipment faults from common measurements. A large data base, covering a wide range of weather conditions, is required for best results. This data base can be created from in-situ routine measurements. Detection and isolation: A robust detection and isolation (formerly referred to as 'identification') method has been developed, which is capable of separating the effect of faults from model inaccuracies and disturbance effects. Sensor and equipment faults: Good detection capabilities have been demonstrated for sensor and equipment failures in both the shoot and root environment. Water stress detection: An excitation method of the shoot environment has been developed, which successfully detected water stress, as soon as the transpiration rate dropped from its normal level. Due to unavailability of suitable monitoring equipment for the root environment, crop faults could not be detected from measurements in the root zone. Dust: The effect of screen clogging by dust has been quantified. Implications Sensor and equipment fault detection and isolation is at a stage where it could be introduced into well equipped and maintained commercial greenhouses on a trial basis. Detection of crop problems requires further work. Dr. Peleg was primarily responsible for developing and implementing the innovative data analysis tools. The cooperation was particularly enhanced by Dr. Peleg's three summer sabbaticals at the ARS, Northem Plains Agricultural Research Laboratory, in Sidney, Montana. Switching from multi-band to hyperspectral remote sensing technology during the last 2 years of the project was advantageous by expanding the scope of detected plant growth attributes e.g. Yield, Leaf Nitrate, Biomass and Sugar Content of sugar beets. However, it disrupted the continuity of the project which was originally planned on a 2 year crop rotation cycle of sugar beets and multiple crops (com and wheat), as commonly planted in eastern Montana. Consequently, at the end of the second year we submitted a continuation BARD proposal which was turned down for funding. This severely hampered our ability to validate our findings as originally planned in a 4-year crop rotation cycle. Thankfully, BARD consented to our request for a one year extension of the project without additional funding. This enabled us to develop most of the methodology for implementing and running the hyperspectral remote sensing system and develop the new analytical tools for solving the non-repeatability problem and analyzing the huge hyperspectral image cube datasets. However, without validation of these tools over a ful14-year crop rotation cycle this project shall remain essentially unfinished. Should the findings of this report prompt the BARD management to encourage us to resubmit our continuation research proposal, we shall be happy to do so.

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Feierl, Lukas, and Peter Luidolt. Automated monitoring, failure detection of key components, control strategies and self-learning controls of key components. IEA SHC Task 55, 2020. http://dx.doi.org/10.18777/ieashc-task55-2020-0005.

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Graham, Scott R. Fault Tolerance in Networked Control Systems Through Real-Time Restarts. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada425652.

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Song, Yong D. Fault-Tolerant and Reconfigurable Control of Unmanned Aerial Vehicles (UAVs). Defense Technical Information Center, 2008. http://dx.doi.org/10.21236/ada477568.

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Meyer, Gerard G., and Howard L. Weinert. Fault Tolerant Parallel Implementations of Iterative Algorithms for Optimal Control Problems. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada214786.

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Meyer, Gerard G., and Howard L. Weinert. Fault Tolerant Parallel Implementations of Iterative Algorithms for Optimal Control Problems. Defense Technical Information Center, 1988. http://dx.doi.org/10.21236/ada198041.

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O'Neill, Zheng, Tao Yang, Jin Wen, et al. IoT-Based Comfort Control and Fault Diagnostics System for Energy-Efficient Homes. Office of Scientific and Technical Information (OSTI), 2024. http://dx.doi.org/10.2172/2338244.

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Cole, Daniel G. Advanced I&C for Fault-Tolerant Supervisory Control of Small Modular Reactors. Office of Scientific and Technical Information (OSTI), 2018. http://dx.doi.org/10.2172/1419664.

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Duncan, Paul Grems. Thin-Film Fiber Optic Sensors for Power Control and Fault Detection. Final Report. Office of Scientific and Technical Information (OSTI), 2003. http://dx.doi.org/10.2172/820973.

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Pasupuleti, Murali Krishna. Quantum Semiconductors for Scalable and Fault-Tolerant Computing. National Education Services, 2025. https://doi.org/10.62311/nesx/rr825.

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Abstract: Quantum semiconductors are revolutionizing computing by enabling scalable, fault-tolerant quantum processors that overcome the limitations of classical computing. As quantum technologies advance, superconducting qubits, silicon spin qubits, topological qubits, and hybrid quantum-classical architectures are emerging as key solutions for achieving high-fidelity quantum operations and long-term coherence. This research explores the materials, device engineering, and fabrication challenges associated with quantum semiconductors, focusing on quantum error correction, cryogenic control systems, and scalable quantum interconnects. The study also examines the economic feasibility, industry adoption trends, and policy implications of quantum semiconductors, assessing their potential impact on AI acceleration, quantum cryptography, and large-scale simulations. Through a comprehensive analysis of quantum computing frameworks, market trends, and emerging applications, this report provides a roadmap for integrating quantum semiconductors into next-generation high-performance computing infrastructures. Keywords: Quantum semiconductors, scalable quantum computing, fault-tolerant quantum processors, superconducting qubits, silicon spin qubits, topological qubits, hybrid quantum-classical computing, quantum error correction, quantum coherence, cryogenic quantum systems, quantum interconnects, quantum cryptography, AI acceleration, quantum neural networks, post-quantum security, quantum-enabled simulations, quantum market trends, quantum computing policy, quantum fabrication techniques.

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