Accurate and reliable information about the temperature of the synchronous generator excitation winding hot spot is necessary to determine the dynamic limit caused by excitation winding overheating in the PQ diagram. ...
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Excitation winding temperature is used for determination of the dynamic limit in the P-Q diagram of a synchronous generator. The surface temperature of an excitation winding can be measured by an infrared (IR) thermom...
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This paper describes a robust controller design procedure based on H ∞ control theory for translational mechatronic system, trolley with pendulum. The goal is to achieve fast trolley positioning with minimization of ...
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ISBN:
(纸本)9789532330502
This paper describes a robust controller design procedure based on H ∞ control theory for translational mechatronic system, trolley with pendulum. The goal is to achieve fast trolley positioning with minimization of pendulum swinging. This system, trolley with pendulum, represents gantry crane. Minimization of the load transfer time and load swing angle in the crane applications are conflicting control demands and thus proper control action is required. However, friction effect is unavoidable in mechanical parts of the system and significantly influences the control system performances. In this paper H∞ theory based crane controller is designed in order to minimize friction effect. H∞ controller has been tested and compared with the pole placement controller on a laboratory gantry crane model.
Inverters with pulse width modulation are used for connecting DC and AC networks, e.g. in uninterrupted power supply systems, AC electromotor drives, for powering induction furnaces, in audio technique. The output vol...
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ISBN:
(纸本)9789532330502
Inverters with pulse width modulation are used for connecting DC and AC networks, e.g. in uninterrupted power supply systems, AC electromotor drives, for powering induction furnaces, in audio technique. The output voltage spectrum of inverters with unipolar pulse width modulation in the case of triangular carrier signal contains a harmonic with frequency equal to the frequency of the modulating signal. It also contains harmonics with frequencies equal to the sum of frequency of the modulating signal and a multiple of double the frequency of the carrier signal. Analysis of the inverter's output voltage harmonics was performed in time domain via development of the inverter's output voltage waveform into a sum of periodical waveforms and by calculating spectrums of each individual part. The dependency of the amplitudes and frequency spectra on the wave forms of the carrier signal and modulating signal was demonstrated.
A dual-axis photovoltaic positioning system has a primary task of directing a PV module towards the optimal light source. The idea of positioning a loop requires proper information on the PV module direction in order ...
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Feature extraction is one of the most important problems in image recognition tasks. In many applications such as face recognition, it is desirable to eliminate the redundancy among the extracted discriminant features...
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Feature extraction is one of the most important problems in image recognition tasks. In many applications such as face recognition, it is desirable to eliminate the redundancy among the extracted discriminant features. In this paper, we propose two novel feature extraction approaches named local uncorrelated discriminant transform (LUDT) and weighted global uncorrelated discriminant transform (WGUDT) for face recognition, respectively. LUDT and WGUDT separately construct the local uncorrelated constraints and the weighted global uncorrelated constraints. Then they iteratively calculate the optimal discriminant vectors that maximize the Fisher criterion under the corresponding statistical uncorrelated constraints, respectively. The proposed LUDT and WGUDT approaches are evaluated on the public AR and FERET face databases. Experimental results demonstrate that the proposed approaches outperform several representative feature extraction methods.
Feature extraction is an important research topic in the field of pattern recognition. The class-specific idea tends to recast a traditional multi-class feature extraction and recognition task into several binary clas...
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Feature extraction is an important research topic in the field of pattern recognition. The class-specific idea tends to recast a traditional multi-class feature extraction and recognition task into several binary class problems, and therefore inevitably class imbalance problem, where the minority class is the specific class, and the majority class consists of all the other classes. However, discriminative information from binary class problems is usually limited, and imbalanced data may have negative effect on the recognition performance. For solving these problems, in this paper, we propose two novel approaches to learn discriminant features from imbalanced data, named class-balanced discrimination (CBD) and orthogonal CBD (OCBD). For a specific class, we select a reduced counterpart class whose data are nearest to the data of specific class, and further divide them into smaller subsets, each of which has the same size as the specific class, to achieve balance. Then, each subset is combined with the minority class, and linear discriminant analysis (LDA) is performed on them to extract discriminative vectors. To further remove redundant information, we impose orthogonal constraint on the extracted discriminant vectors among correlated classes. Experimental results on three public image databases demonstrate that the proposed approaches outperform several related image feature extraction and recognition methods.
This paper develops an approach to dealing with the global robust output regulation problem for a class of nonlinear systems with integral input-to-state stable (iISS) inverse dynamics by using output feedback control...
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This paper considers the robust output regulation problem for nonlinear time-varying systems with a time-varying exosystem. A framework for converting the problem into a stabilization problem of an augmented system is...
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ISBN:
(纸本)9787894631046
This paper considers the robust output regulation problem for nonlinear time-varying systems with a time-varying exosystem. A framework for converting the problem into a stabilization problem of an augmented system is established. The problem is solved for a class of time-varying output feedback systems with a time-varying exosystem.
For the time series prediction problem, the relationship between the abstracted independent variables and the response variable is usually strong non-linear. We propose a neural network fusion model based on k-hyperpl...
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