Regulators are important components in pneumatic system, and their flow-rate characteristics are the key parameters for designers. According to the correlatively international standard and national standard of China, ...
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Regulators are important components in pneumatic system, and their flow-rate characteristics are the key parameters for designers. According to the correlatively international standard and national standard of China, which describe the flow-rate characteristics measurement method of pneumatic regulators, the pressure and the flow are measured point by point, and then the flow-rate characteristics curve is plotted point to point. This method has some disadvantages, such as equipment complexity, much air consumption, and low efficiency. To settle the problems presented above, this paper puts forward a new high efficient and energy saving flow-rate characteristics measurement method of regulators, which is based on the pressure response when charging and discharging to an isothermal tank without any flow meters. The measurement principle, the system and the steps are introduced. And the tracking differentiator is used for the data processing of the pressure difference. Two typical kinds of regulators were experimentally investigated, and their flow-rate characteristics curves were obtained with the new and the conventional method, respectively. Comparatively, it's proved that this new method is feasible because it is not only able to meet the demand of the measurement precision, but also to save energy and improve efficiency. Compared to the conventional method, the new method takes only about 1/10 amount of time and consumes about only 1/30 amount of air. Hopefully it will be able to serve as an international standard of flow-rate characteristics measurement method of regulators.
Based on,but not limited to the research results of electrical engineering published in the special issue of Science in China Series E,June 2008,this essay gives a brief review on a wide range of state-of-art advancem...
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Based on,but not limited to the research results of electrical engineering published in the special issue of Science in China Series E,June 2008,this essay gives a brief review on a wide range of state-of-art advancement in electrical engineering field of China,which includes power system modeling,analysis and control,risk assessments in power system,etc.
In this paper,the mean-square exponential stability problem is investigated for stochastic Markovian jump open-loop systems with mode-dependent time-varying *** constructing a modified Lyapunov-Krasovskii functional,a...
In this paper,the mean-square exponential stability problem is investigated for stochastic Markovian jump open-loop systems with mode-dependent time-varying *** constructing a modified Lyapunov-Krasovskii functional,a delay-dependent sufficient condition for the solvability of the above problem is presented in terms of linear matrix inequalities(LMIs).The decay rate can be a given finite positive constant and synchronously the derivative of time-varying delays is only required to have a upper bound which is not required to be less than *** examples are presented to illustrate the effectiveness of the theoretical result.
High precision identification of feature points is an important technology and one of the bases of computer vision, image analysis and image processing. In the practical applications, the feature points can not be ide...
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High precision identification of feature points is an important technology and one of the bases of computer vision, image analysis and image processing. In the practical applications, the feature points can not be identified easily in various conditions of light illumination, visual angle, texture, and perspective projection. And in many cases, the size of feature point is small, the context is uncertain and the shape of feature point is different from each other. According to the properties of actual vision images, a novel method of feature point identification using multi-scale detecting technology is presented. In this thesis, an automatic circle feature point detection system is developed based on digital image processing techniques, in which, the feature points are detected in two scales. In large-scale recognition, the image pre-processing is carried out to reduce the impact of image noise, and the feature points with various shape deformation can be found out. And then, the founded points are checked along with small scale detecting. The relationship of the points and their mappings in three dimensional space is obtained and used to judge if the point is a real feature point one by one. Thus the deformed feature points in various perspective projection conditions can be recognized correctly. Experimental results show that this approach for feature points identification is not only fast but also robust. The proposed technology is a kind of useful method for contour extraction and feature points identification in the fields of computer vision and image analysis.
Adaptive Immune Algorithm based data mining (AIA-Data Mining) is presented for fault diagnosis of power transformer. The information entropy is used for the production of the initial population, which leads to converg...
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Object tracking algorithm using modified Particle filter in low frame rate(LFR) video is proposed in this paper,which the object moving significantly and randomly between consecutive frames in the low frame rate ***,P...
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Object tracking algorithm using modified Particle filter in low frame rate(LFR) video is proposed in this paper,which the object moving significantly and randomly between consecutive frames in the low frame rate ***,Particle filtering use motion transitions to model the movement of the ***,in object tracking with low frame rate sequences,it is very difficult to model significant random jumps of *** key notion of our solution is that using the object detection and extraction to locate the tracked object,while not using the dynamical *** propagate the sample set around the detected regions,which the samples are assumed to be uniformly distributed in the neighborhoods of the detected *** is similar to the general particle filter to propagate *** we compute the likelihood between the target model and the candidate regions,which are based on color histogram *** extensive experiments show that the proposed algorithm performs robustly in a large variety of tracking scenarios.
A MicroGrid can increase the reliability of energy supplies by disconnecting from the grid in the case of network faults or reduced power quality. The techniques that have been investigated to control MicroGrids in bo...
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A networked mobile robot in large networks such as Internet often operates under supervisory control and the discrete commands and decisions from the remote operators normally depend on the feedback scene information....
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A networked mobile robot in large networks such as Internet often operates under supervisory control and the discrete commands and decisions from the remote operators normally depend on the feedback scene information. Therefore it must be tolerate of the significant and unpredicted time latency that might mislead the robot for time and scene-dependent operations. A series of strategies are presented in this paper to decrease the latency impact and implement scene specified control of a Internet-based mobile robot. Time stamps are attached to each communication packet of scene video, audio and environment information from the robot to remote operator's computer for display, which then sends back control decision or command of the right time stamps with the scene when needed. By allocating a memory buffer for current display and recent status even including video frames the robot recalls the environment with the event time stamps as searching index, which helps to estimate the exact robot position or operation. Reverse position and motion are conducted according to estimation from the memorized information. The strategies have been introduced to improve a practical networked mobile robot control platform with experiment validity given in detail.
This paper presents a novel combined algorithm based on particle swarm optimization (PSO) and simulated annealing algorithm(SA) for power system reactive optimization. According to the characteristics of PSO and SA, t...
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This paper considers the guaranteed cost control problem for a class of uncertain discrete T-S fuzzy systems with time delay and a given quadratic cost function. Sufficient conditions for the existence of such control...
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This paper considers the guaranteed cost control problem for a class of uncertain discrete T-S fuzzy systems with time delay and a given quadratic cost function. Sufficient conditions for the existence of such controllers are derived based on the linear matrix inequalities (LMI) approach by constructing a specific nonquadratic Lyapunov-Krasovskii functional and a nonlinear PDC-like control law. A convex optimization problem is also formulated to select the optimal guaranteed cost controller that minimizes the upper bound of the closed-loop cost function. Finally, numerical examples are presented to demonstrate the effectiveness of the proposed approaches.
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