The Experts below are selected from a list of 21774 Experts worldwide ranked by ideXlab platform
Eric Semail - One of the best experts on this subject based on the ideXlab platform.
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Comparison and Analysis of Post-Fault Operation Modes in a Five-Phase PMSM Considering Thermal Behavior
2018Co-Authors: Hussein Zahr, Mohamed Trabelsi, Eric SemailAbstract:This paper presents a comparative evaluation of Fault tolerant control strategies for a five-phase Permanent Magnet Synchronous Machine (PMSM) under an opened-phase Fault Mode. Two main classical Fault Tolerant Control (FTC) methods and the no-reconfiguration strategy are compared with the normal Mode operation considering peak current, peak voltage, average torque, torque ripples and measured temperatures of five windings of the five phases. The analysis of the temperature repartition shows that, in Fault Mode, at least in the particular studied case, the knowledge of the Joule losses is not sufficient for a correct control of the temperature.
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A Vectorial Approach for Generation of Optimal Current References for Multiphase Permanent-Magnet Synchronous Machines in Real Time
IEEE Transactions on Industrial Electronics, 2011Co-Authors: Xavier Kestelyn, Eric SemailAbstract:This paper deals with the generation of optimal current references for multiphase permanent-magnet (PM) synchronous machines in normal or Fault Mode (open-circuited phases). Current references are computed in order to keep a constant torque while minimizing instantaneous joule losses. In comparison with commonly used scalar methods, a vectorial approach makes it possible to reduce the number of computations in order to generate optimal current references in real time. In addition to this, since current references are expressed in terms of physical parameters of the machine, this approach can be used to evaluate the influence of machine parameters over the control performances. Finally, experimental results of a surface-mounted PM five-phase synchronous machine are provided in order to demonstrate the proposed strategy.
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Auto-adaptive Fault tolerant control of a seven-phase drive
2010Co-Authors: Xavier Kestelyn, Yvan Crevits, Eric SemailAbstract:This paper proposes an auto-adaptive current control that makes possible to reduce torque ripples of multi-phase machines in open-circuited phase conditions. Contrary to existing methods, current references are not recomputed and the control scheme used in normal Mode is auto-adapted in order to run the machine with open-circuited phases. The number of degrees of freedom of the control scheme is adapted to the number of degrees of freedom of the drive and current controllers are auto-adaptive in order to reject the induced speed-dependent harmonic voltage disturbances that appear in Fault-Mode. Experimental results are presented to show the effectiveness of the proposed method.
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Fault Tolerant Control of a Seven-phase Drive by Degrees of Freedom Adaptation
2010Co-Authors: Xavier Kestelyn, Yvan Crevits, Eric SemailAbstract:This paper proposes a simple way to control multi-phase drives in open-phase conditions. Contrary to existing methods, current references are not recomputed and the control scheme is kept the same to run in open-circuited phase condition. In order to work in Fault-conditions, the number of degrees of freedom of the control scheme is adapted to the number of degrees of freedom of the drive. Since a particular attention has to be dedicated to the structure and controller tuning, harmonic content of induced perturbations in Fault Mode is exhibited. Simulation and experimental results are presented to show the effectiveness and the limitations of the proposed method.
Yi Shen - One of the best experts on this subject based on the ideXlab platform.
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Sensor Fault Detection for Linear Systems by Multiple H-l H ∞ Observers
2019 CAA Symposium on Fault Detection Supervision and Safety for Technical Processes (SAFEPROCESS), 2019Co-Authors: Wenhan Zhang, Zhenhua Wang, Yi ShenAbstract:In this paper, the problem of sensor Fault detection (FD) for linear discrete-time systems has been studied with the aid of multiple H-l H∞ observers approach. A limited number of Fault Modes can be obtained by considering the system only occurs one Fault at a time. For each Fault Mode, an $H$ _ l H∞ Fault detection observer (FDO) is designed with its residual is sensitive to Fault and robust to disturbances and noises. Meanwhile, each FDO is optimized for the certain Fault Mode to improve the performance of Fault detection. By assuming the disturbances and noises are unknown but bounded, zonotopic techniques are used to achieve residual evaluation based on the designed H-l H∞ FDQs. Finally, a second-order RC circuit simulation example is utilized to illustrate the effectiveness of the proposed method.
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Active H∞ Fault-tolerant control design and online optimal selection schemes of Fault-tolerant controllers
Control theory & applications, 2014Co-Authors: Li-jun Liu, Yi ShenAbstract:This paper proposes an active H∞Fault-tolerant control and optimal schemes for selecting a controller online, and constructs many-to-many mappings between Fault Modes and controllers under the "off-line design, online selection"Fault-tolerant structure. According to the specific Fault Model, the active H∞Fault-tolerant control is designed off-line for every recoverable Fault Mode. Then, three methods are presented to shrink all Fault-tolerant mappings between Fault Modes and Fault-tolerant controllers for different requirements. As a result, four selection schemes are proposed to choose a proper controller from a given set of controllers for a given Fault Mode. These four selections are designed for different requirements to improve the Fault-tolerant performances of systems. Finally, a simulation is performed to illustrate and validate the effectiveness of the active H∞Fault-tolerant controllers and the selection schemes.
Takashi Yoneyama - One of the best experts on this subject based on the ideXlab platform.
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A Fault-Tolerant Filter for Systems Subject to Stochastic Faults
Journal of Control Automation and Electrical Systems, 2017Co-Authors: Davi Antônio Santos, Takashi YoneyamaAbstract:This paper is concerned with state estimation of discrete-time linear systems subject to additive Faults represented as inputs to both the state and measurement equations. Particularly, the sequence of Fault inputs is assumed to be parameterizable by three Fault parameters: Fault magnitude, Fault instant, and Fault Mode index. Moreover, these parameters are treated as unknown realizations of random variables defined so as to account for prior knowledge about possible Faults. For tackling this problem, a two-stage filter structure is invoked.
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a bayesian solution to the multiple composite hypothesis testing for Fault diagnosis in dynamic systems
Automatica, 2011Co-Authors: Davi Antonio Dos Santos, Takashi YoneyamaAbstract:This paper is concerned with Model-based isolation and estimation of additive Faults in discrete-time linear Gaussian systems. The isolation problem is stated as a multiple composite hypothesis testing on the innovation sequence of the Kalman filter (KF) that considers the system operating under Fault-free conditions. Fault estimation is carried out, after isolating a Fault Mode, by using the Maximum a Posteriori (MAP) criterion. An explicit solution is presented for both Fault isolation and estimation when the parameters of the Fault Modes are assumed to be realizations of specific random variables (RV).
Xavier Kestelyn - One of the best experts on this subject based on the ideXlab platform.
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A Vectorial Approach for Generation of Optimal Current References for Multiphase Permanent-Magnet Synchronous Machines in Real Time
IEEE Transactions on Industrial Electronics, 2011Co-Authors: Xavier Kestelyn, Eric SemailAbstract:This paper deals with the generation of optimal current references for multiphase permanent-magnet (PM) synchronous machines in normal or Fault Mode (open-circuited phases). Current references are computed in order to keep a constant torque while minimizing instantaneous joule losses. In comparison with commonly used scalar methods, a vectorial approach makes it possible to reduce the number of computations in order to generate optimal current references in real time. In addition to this, since current references are expressed in terms of physical parameters of the machine, this approach can be used to evaluate the influence of machine parameters over the control performances. Finally, experimental results of a surface-mounted PM five-phase synchronous machine are provided in order to demonstrate the proposed strategy.
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Auto-adaptive Fault tolerant control of a seven-phase drive
2010Co-Authors: Xavier Kestelyn, Yvan Crevits, Eric SemailAbstract:This paper proposes an auto-adaptive current control that makes possible to reduce torque ripples of multi-phase machines in open-circuited phase conditions. Contrary to existing methods, current references are not recomputed and the control scheme used in normal Mode is auto-adapted in order to run the machine with open-circuited phases. The number of degrees of freedom of the control scheme is adapted to the number of degrees of freedom of the drive and current controllers are auto-adaptive in order to reject the induced speed-dependent harmonic voltage disturbances that appear in Fault-Mode. Experimental results are presented to show the effectiveness of the proposed method.
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Fault Tolerant Control of a Seven-phase Drive by Degrees of Freedom Adaptation
2010Co-Authors: Xavier Kestelyn, Yvan Crevits, Eric SemailAbstract:This paper proposes a simple way to control multi-phase drives in open-phase conditions. Contrary to existing methods, current references are not recomputed and the control scheme is kept the same to run in open-circuited phase condition. In order to work in Fault-conditions, the number of degrees of freedom of the control scheme is adapted to the number of degrees of freedom of the drive. Since a particular attention has to be dedicated to the structure and controller tuning, harmonic content of induced perturbations in Fault Mode is exhibited. Simulation and experimental results are presented to show the effectiveness and the limitations of the proposed method.
K Kafka - One of the best experts on this subject based on the ideXlab platform.
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power electronics monitoring for a controlled voltage source inverter drive with induction machines
Power Electronics Specialists Conference, 2000Co-Authors: C Kral, K KafkaAbstract:This paper presents an approach on the detection of semiconductor maloperation in a voltage source inverter. It is based on the evaluation of machine state variables which are processed due to the machine control algorithm. With it a fast and reliable Fault detection algorithm can be realized. Furthermore, limited drive operation in case of a Fault Mode is discussed. All obtained results are based on computer simulation.