The problem of multiplicative fault detection and isolation (FDI) in the current sensors of a doubly-fed induction generator (DFIG) is considered in the presence of model uncertainty. A residual generator based on the...
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ISBN:
(纸本)9781424477456
The problem of multiplicative fault detection and isolation (FDI) in the current sensors of a doubly-fed induction generator (DFIG) is considered in the presence of model uncertainty. A residual generator based on the DFIG model is proposed using the structure of the classical generalized observer scheme (GOS). However, each observer in this scheme is replaced by a robust H_(-)/H_(infinity) fault detection filter followed by a Kalman-like observer. It turns out that the fault detection/isolation problem then amounts to detecting the appearance of sine waves superimposed to specific components of a white noise vector. A Generalized Likelihood Ratio Test (GLRT) is developed to solve the problem. The complete FDI system is validated through simulations on a controlled DFIG.
The actual wind turbines are provided with adjustable speed generators, like the double feed induction generator, that are capable to work in variable speed operations. One of the main advantage of adjustable speed ge...
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The actual wind turbines are provided with adjustable speed generators, like the double feed induction generator, that are capable to work in variable speed operations. One of the main advantage of adjustable speed generators is that they improve the system efficiency compared to fixed speed generators because turbine speed is adjusted as a function of wind speed to maximize output power. However this systems requires a suitable speed controller in order to track the optimal wind turbine speed reference. In this work, it is proposed a sliding mode control for variable speed wind turbines. The robustness analysis of the proposed controller under disturbances and parameter uncertainties is provided using the Lyapunov stability theory and simulated results show that the proposed controller provides a good performance.
In this paper an observer-based fault detection approach for a class of nonlinear systems, which can be modeled by Takagi-Sugeno (TS) fuzzy models, is presented. We propose a sliding mode fuzzy observer that deals wit...
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ISBN:
(纸本)9781424477456
In this paper an observer-based fault detection approach for a class of nonlinear systems, which can be modeled by Takagi-Sugeno (TS) fuzzy models, is presented. We propose a sliding mode fuzzy observer that deals with unmeasurable premise variables, bounded uncertainties in the plant and allows fault estimation based on an equivalent output error injection approach. Necessary conditions for the existence of the robust observer are derived from sliding mode theory [10]. Stability is ensured by linear matrix inequality (LMI) based sufficient conditions. An illustrative example demonstrates the effectiveness of the proposed scheme.
This paper discussed neutronic similarity for reflector worth and sodium void worth between the 4S core and one of physics benchmark core FCA XXIII from macroscopic and microscopic view points using perturbation theor...
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ISBN:
(纸本)9781617386435
This paper discussed neutronic similarity for reflector worth and sodium void worth between the 4S core and one of physics benchmark core FCA XXIII from macroscopic and microscopic view points using perturbation theory. The comparison showed that similarities of reactivity components for reflector worth and sodium void worth mostly maintained although some differences exist in core size and compositions between the two cores. Adequacy of the 4S nuclear design methodology is also confirmed through assessment of the analysis results of the FCA-XXIII cores. The confirmed methodology will be further applied in the 4S core design.
This work presents a Hybrid Model Library (HML) for enhancing the analysis of ship electrical systems. Lots of studies were made in order to select the most appropriated software platform to test the new models develo...
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This work presents a Hybrid Model Library (HML) for enhancing the analysis of ship electrical systems. Lots of studies were made in order to select the most appropriated software platform to test the new models developed. This work shows examples of models developed in Simulink-MATLAB and PSIM platforms. Later on, we present a research methodology based on modeling techniques by hybridization. Several modeling stages will be presented in order to clarify what kind of difficulties has been solved during marine plant models designing. Finally, we present some conclusions about the HML developed and the chances to improve its core.
Computational Auditory Scene analysis (CASA) has attracted a lot of interest in segregating speech from monaural mixtures. In this paper, we propose a new method for single channel speech separation with frame-based p...
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Auditory scene in a natural environment contains multiple sources. Auditory scene analysis (ASA) is the process in which the auditory system segregates a scene into streams corresponding to different sources. The dete...
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The vehicle system is a multi-domain system that requires many branches of science and engineering. Therefore the development of the vehicle system requires the use of design methodologies that utilize simulations, wh...
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The influence of random short time-delay to networked controlsystems (NCS) is changed into an unknown bounded uncertain part. Without changing the structure of the system, an Hoo states observer is designed for NCS...
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The influence of random short time-delay to networked controlsystems (NCS) is changed into an unknown bounded uncertain part. Without changing the structure of the system, an Hoo states observer is designed for NCS with short time-delay. Based on the designed states observer, a robust fault detection approach is proposed for NCS. In addition, an optimization method for the selection of the detection threshold is introduced for better tradeoff between the robustness and the sensitivity. Finally, some simulation results demonstrate that the presented states observer is robust and the fault detection for NCS is effective.
The carrier recovery is one key technique in the demodulation of high order quadrature amplitude modulation (QAM) signals. A carrier recovery algorithm which switches between multi-threshold polarity decision mode and...
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The carrier recovery is one key technique in the demodulation of high order quadrature amplitude modulation (QAM) signals. A carrier recovery algorithm which switches between multi-threshold polarity decision mode and decision directed mode according to the standard deviation of the frequency of numerically controlled oscillator (NCO) is proposed. The proposed algorithm can detect a proper time for the mode switch to yield lower steady state error. The simulation results demonstrate the effectiveness of the proposed algorithm in improving the performance of blind carrier recovery.
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