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Induction motors, which have been widely used in various practical applications, such as fans, pumps, machine tools, vehicle traction motors, etc., are truly the industrial workhorses over the past 120 years. To improve the sensorless induction motor control performance and develop more fault-tolerant motor drives, the paper presents a novel sensorless direct torque control approach based on the proposed...
A detailed conducted EMI prediction model of the three-stage starter/generator is proposed in this paper to analyze the EMI during the starting procedure. The main generator and exciter high-frequency (HF) models are represented by multistage LRC networks. The traditional low-frequency (LF) models in d-q reference and the corresponding control strategies are combined with the HF models through the...
Using multiple models to deal with transients for adaptive systems which is large parametric uncertainties was introduced in the 1990s. The common method is using switching schemes. However, these methods has some potential drawbacks. In this paper, a new multiple models scheme is proposed for a class strict-feedback nonlinear discrete-time systems. Firstly, we use feedback linearization and backstepping...
For an unmanned marine vehicles, the calculations of its resistance under the water and hydrodynamic coefficients are necessary and important work. For the complexity of the fluid around autonomous underwater vehicles(AUV), the kinematic and dynamic model of underwater vehicles are highly nonlinear and coupled so that the hydrodynamic performance are hardly to be obtained. With the help of computational...
The paper analyzes the problems existing in the practical application of traditional laser triangulation algorithm and sums up the front-end and back-end of graph-based SLAM. Taking into account of the singularity, similarity and symmetry of garbage's feature which may cause feature mismatch and the shortcomings of reflective panels being easily blocked by other objects but with high position accuracy...
We have investigated the surface Brillouin scattering (SBS) in the transverse Anderson localization (TAL) disordered optical fibers (DOFs), theoretically and numerically. There are random air-holes in the across of silica DOF, and the disordered silica glass-air structure can bring in TAL to the light, as a result, an optical fiber can be produced. The SBS in this TAL DOF is then numerically investigated...
Aiming at the information overload caused by rich resources of Broadcast Television programs, this paper puts forward Broadcast Television Programs Recommendation Technology based on user clustering. According to user rating data and programs broadcasting data, we cluster users by the improved K-MEANS algorithm, divide the users with similar viewing preference into the same community groups, and generate...
As self-interested agents and malicious agents often launch various attacks to reputation systems and these attacks are usually deceptive, collusive, or strategic, it is difficult to keep reputation systems robust against multifarious attacks. Many filtering strategies have been designed for providing robust reputation evaluation and minimizing honest buyers' purchasing risks. This paper presents...
Failures in the transmission network compromise the proper delivery of energy in a power grid. Control actions planned solely by a power utility (or operators) whose domain contains the failure cannot provide a strategy that guarantees the global stability of the grid. Such inappropriately addressed failures may develop a cascading behavior that can cause large-scale blackouts. In this paper we propose...
On the basis of analysis on the pressure and flow characteristics of an aircraft hydraulic energy system, each dynamic simulation model for components and subsystems of hydraulic energy system was constructed using AMESim, and simulation was made for the pressure and flow characteristics of hydraulic energy system of the typical phases under the flight normal condition. By simulation verification...
The paper, based on the current researches on the regulation and control of digital cognitive competence by transcranial direct current stimulation (TDCS), adopts stimulation device developed by Tsinghua University to launch the analysis experiment of cognitive behaviors aiming at the key problem of the application effects of TDCS, compares the influences of stimulating electrode parameters on digital...
As renewable energy resources such as wind become more prolific, the challenges in utilizing these resources to their full efficiency come to the forefront of power system engineers. Although the sustainability of such alternative energy resources is attractive, the ability to obtain satisfactory efficiency has been difficult until recent advances in nonlinear control technologies. The subject of...
Computational awareness (CA) is proposed to give awareness capability to a machine. For implementing CA, a direct way is to simulate human awareness. Since tacit knowledge is an important component for human awareness, this work tries to give a brief introduction of the current research topics. First, several consensuses that have been achieved are identified. Then we identify three research topics,...
Building effective and efficient appearance models is a challenging task for robust object tracking. Online learned strategy is widely used to solve appearance changes for its adaptive ability. However, it will introduce potential drifting problems for the accumulation of errors during the self-updating. As a result, this paper attempts to create the visual object appearance model using cloud model...
Understanding Web users' search intent expressed by their queries is essential for a search engine to provide the appropriate answers. Web query classification (QC) algorithms have been widely studied to improve the accuracy and meet users' demands. Some QC algorithms convert queries into vectors and use SVM or CRF model as the classifier. However, with the volume of data increasing, the time consumed...
The large-scale ontologies are more and more widely used in various fields, some ontologies even have evolved through a number of versions. There is an increasing need for finding a set of metrics to analyze ontology systematically. In this paper, inspired by the concept of ontology metrics at the ontology-level and the class-level, we expand ontology metrics to the property-level and choose well-known...
Focusing on the improvement and application of integrated navigation algorithm, the research of this paper are separated into two parts: The first part is to construct an appropriate SINS coning error model. The second part is to explore the coning error compensation algorithm. In the first part, the SINS error model and equations are deduced. To evaluate the latter, the coning error compensation...
The traffic congestion in modern cities deteriorates urban bus' fuel economy and pollutes the atmosphere seriously, Hydraulic hybrid system becomes one of the efficient ways to improve motor's fuel economy and reduce its pollution under the frequent starts and stops. In order to improve the power performance, a front located parallel hydraulic hybrid (FPHH) configuration is proposed. Through dynamic...
Difficulties in achieving the maximum level of efficiency in power extraction from available wind resources warrant the collective attention of modern control and power systems engineers. A strong movement towards sustainable energy resources, and advances in control system methodologies, make previously unattainable levels of efficiency possible. One such promising method is sliding mode control...
Smart grid synchronization is an important concern due to the increasing deployment of Distributed Power Generation Systems. Nonlinear estimation techniques based on synchronization algorithm are proposed to track both of the voltage magnitude and phase angle of utility network. Instead of directly analyzing in natural abc coordinate frame, by resorting to symmetrical component transformation, the...
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