The Experts below are selected from a list of 10563 Experts worldwide ranked by ideXlab platform
Jose A De Dona - One of the best experts on this subject based on the ideXlab platform.
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a fault tolerant control scheme based on Sensor actuation channel switching and dwell time
International Journal of Robust and Nonlinear Control, 2014Co-Authors: Florin Stoican, Maria M Seron, Sorin Olaru, Jose A De DonaAbstract:SUMMARY The present paper proposes a switching control scheme for a plant with multiple Sensor–Estimator/control–actuator pairs. The scheme is shown to handle the specific stability problems originated by the switching between the different feedback loops and accommodate to faults in the measurement (Sensors) channels. The main contribution is a fault tolerant switching scheme with stability guarantees assured by a pre-imposed dwell time. The detection and the fault tolerance capabilities are achieved through the separation of sets associated with suitable residual signals corresponding to healthy and faulty functioning. Another contribution of the paper resides in a recovery technique for the post-fault reintegration of the biased estimations. This technique makes use of a virtual Sensor whose associated estimation, based on an optimization procedure, minimizes the recovery time. Copyright © 2012 John Wiley & Sons, Ltd.
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multiSensor switching control strategy with fault tolerance guarantees
Automatica, 2008Co-Authors: Maria M Seron, Xiang W Zhuo, Jose A De Dona, John J MartinezAbstract:In this paper we propose a novel fault tolerant multiSensor switching strategy for feedback control. Each Sensor of the proposed multiSensor scheme has an associated state Estimator which, together with a state feedback gain, is able to individually stabilise the closed-loop system. At each instant of time, the switching strategy selects the Sensor-Estimator pair that provides the best closed-loop performance, as measured by a control-performance criterion. We establish closed-loop stability of the resulting switching scheme under normal (fault-free) operating conditions. More importantly, we show that closed-loop stability is preserved in the presence of faulty Sensors if a set of conditions on the system parameters (such as bounds on the Sensor noises, maximum and minimum values of the reference signal, etc.) is satisfied. This result enhances and broadens the applicability of the proposed multiSensor scheme since it provides guaranteed properties such as fault tolerance and robust closed-loop stability under Sensor fault. The results are applied to the problem of automotive longitudinal control.
Maria M Seron - One of the best experts on this subject based on the ideXlab platform.
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a fault tolerant control scheme based on Sensor actuation channel switching and dwell time
International Journal of Robust and Nonlinear Control, 2014Co-Authors: Florin Stoican, Maria M Seron, Sorin Olaru, Jose A De DonaAbstract:SUMMARY The present paper proposes a switching control scheme for a plant with multiple Sensor–Estimator/control–actuator pairs. The scheme is shown to handle the specific stability problems originated by the switching between the different feedback loops and accommodate to faults in the measurement (Sensors) channels. The main contribution is a fault tolerant switching scheme with stability guarantees assured by a pre-imposed dwell time. The detection and the fault tolerance capabilities are achieved through the separation of sets associated with suitable residual signals corresponding to healthy and faulty functioning. Another contribution of the paper resides in a recovery technique for the post-fault reintegration of the biased estimations. This technique makes use of a virtual Sensor whose associated estimation, based on an optimization procedure, minimizes the recovery time. Copyright © 2012 John Wiley & Sons, Ltd.
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multiSensor switching control strategy with fault tolerance guarantees
Automatica, 2008Co-Authors: Maria M Seron, Xiang W Zhuo, Jose A De Dona, John J MartinezAbstract:In this paper we propose a novel fault tolerant multiSensor switching strategy for feedback control. Each Sensor of the proposed multiSensor scheme has an associated state Estimator which, together with a state feedback gain, is able to individually stabilise the closed-loop system. At each instant of time, the switching strategy selects the Sensor-Estimator pair that provides the best closed-loop performance, as measured by a control-performance criterion. We establish closed-loop stability of the resulting switching scheme under normal (fault-free) operating conditions. More importantly, we show that closed-loop stability is preserved in the presence of faulty Sensors if a set of conditions on the system parameters (such as bounds on the Sensor noises, maximum and minimum values of the reference signal, etc.) is satisfied. This result enhances and broadens the applicability of the proposed multiSensor scheme since it provides guaranteed properties such as fault tolerance and robust closed-loop stability under Sensor fault. The results are applied to the problem of automotive longitudinal control.
John J Martinez - One of the best experts on this subject based on the ideXlab platform.
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multiSensor switching control strategy with fault tolerance guarantees
Automatica, 2008Co-Authors: Maria M Seron, Xiang W Zhuo, Jose A De Dona, John J MartinezAbstract:In this paper we propose a novel fault tolerant multiSensor switching strategy for feedback control. Each Sensor of the proposed multiSensor scheme has an associated state Estimator which, together with a state feedback gain, is able to individually stabilise the closed-loop system. At each instant of time, the switching strategy selects the Sensor-Estimator pair that provides the best closed-loop performance, as measured by a control-performance criterion. We establish closed-loop stability of the resulting switching scheme under normal (fault-free) operating conditions. More importantly, we show that closed-loop stability is preserved in the presence of faulty Sensors if a set of conditions on the system parameters (such as bounds on the Sensor noises, maximum and minimum values of the reference signal, etc.) is satisfied. This result enhances and broadens the applicability of the proposed multiSensor scheme since it provides guaranteed properties such as fault tolerance and robust closed-loop stability under Sensor fault. The results are applied to the problem of automotive longitudinal control.
John L. Junkins - One of the best experts on this subject based on the ideXlab platform.
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Kalman Filtering for Relative Spacecraft Attitude and Position Estimation
Journal of Guidance Control and Dynamics, 2006Co-Authors: Son-goo Kim, Adam M. Fosbury, Yang Cheng, John L. Crassidis, John L. JunkinsAbstract:In this paper a novel approach is developed for relative state estimation of spacecraft flying in formation. The approach uses information from an optical Sensor to provide multiple line-of-sight vectors from one spacecraft to another. The line-of-sight measurements are coupled with gyro measurements and dynamical models in an extended Kalman filter to determine relative attitude, position, and gyro biases. The quaternion is used to describe the relative kinematics, whereas general relative orbital equations are used to describe the positional dynamics. Three different attitude formulations are presented. The first estimates the relative attitude and individual gyro biases for the chief and deputy spacecraft. The second estimates the relative attitude, and the relative velocity bias and the deputy gyro bias. The third estimates the relative attitude, and the relative velocity bias and the chief gyro bias. Simulation results indicate that the combined Sensor/Estimator approach provides accurate relative attitude and position estimates.
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kalman filtering for relative spacecraft attitude and position estimation
Journal of Guidance Control and Dynamics, 2005Co-Authors: John L. Crassidis, Adam M. Fosbury, Yang Cheng, John L. JunkinsAbstract:In this paper a novel approach is developed for relative navigation and attitude estimation of spacecraft flying in formation. The approach uses information from an optical Sensor, which employs relatively simple electronic circuits with modest digital signal processing requirements, to provide multiple line-of-sight vectors from spacecraft to another. The Sensor mechanism is well suited for both near-Earth and deep space applications since it is fully independent of any external systems. The line-of-sight measurements are coupled with gyro measurements and dynamical models in an extended Kalman filter to determine relative attitude, position and gyro biases. The quaternion is used to describe the relative kinematics and general relative orbital equations are used to describe the positional dynamics. Simulation results indicate that the combined Sensor/Estimator approach provides accurate relative position and attitude estimates.
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kalman filtering for relative spacecraft attitude and position estimation
Dissertations & Theses @ SUNY Buffalo ProQuest Dissertations & Theses Global, 2005Co-Authors: Son-goo Kim, Adam M. Fosbury, Yang Cheng, John L. Crassidis, John L. JunkinsAbstract:In this paper a novel approach is developed for relative navigation and attitude estimation of spacecraft flying in formation. The approach uses information from an optical Sensor, which employs relatively simple electronic circuits with modest digital signal processing requirements, to provide multiple line-of-sight vectors from spacecraft to another. The Sensor mechanism is well suited for both near-Earth and deep space applications since it is fully independent of any external systems. The line-of-sight measurements are coupled with gyro measurements and dynamical models in an extended Kalman filter to determine relative attitude, position and gyro biases. The quaternion is used to describe the relative kinematics and general relative orbital equations are used to describe the positional dynamics. Simulation results indicate that the combined Sensor/Estimator approach provides accurate relative position and attitude estimates.
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vision based relative navigation for formation flying of spacecraft
AIAA Guidance Navigation and Control Conference and Exhibit, 2000Co-Authors: Roberto Alonso, John L. Crassidis, John L. JunkinsAbstract:The objective of this paper is to develop a robust and efficient approach for relative navigation and attitude estimation of spacecraft flying in formation. The approach developed here uses information from a new optical Sensor that provides a line of sight vector from the master spacecraft to the secondary satellite. The overall system provides a novel, reliable, and autonomous relative navigation and attitude determination system, employing relatively simple electronic circuits with modest digital signal processing requirements and is fully independent of any external systems. State estimation is achieved through an optimal observer design, which is analyzed using a Lyapunov and contraction mapping approach. Simulation results indicate that the combined Sensor/Estimator approach provides accurate relative position and attitude estimates.
Florin Stoican - One of the best experts on this subject based on the ideXlab platform.
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a fault tolerant control scheme based on Sensor actuation channel switching and dwell time
International Journal of Robust and Nonlinear Control, 2014Co-Authors: Florin Stoican, Maria M Seron, Sorin Olaru, Jose A De DonaAbstract:SUMMARY The present paper proposes a switching control scheme for a plant with multiple Sensor–Estimator/control–actuator pairs. The scheme is shown to handle the specific stability problems originated by the switching between the different feedback loops and accommodate to faults in the measurement (Sensors) channels. The main contribution is a fault tolerant switching scheme with stability guarantees assured by a pre-imposed dwell time. The detection and the fault tolerance capabilities are achieved through the separation of sets associated with suitable residual signals corresponding to healthy and faulty functioning. Another contribution of the paper resides in a recovery technique for the post-fault reintegration of the biased estimations. This technique makes use of a virtual Sensor whose associated estimation, based on an optimization procedure, minimizes the recovery time. Copyright © 2012 John Wiley & Sons, Ltd.
