The power-loss models for different switching states of IGCTs and diodes in MV (medium voltage) three-level NPC (neutral point clamped) inverters are presented in this paper. The models, simulation implementation and ...
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Unbalanced element brings a big problem to fault analysis of symmetrical components method. According with fault analysis of phase components, a residual voltage transformation method for short-circuit current calcula...
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Unbalanced element brings a big problem to fault analysis of symmetrical components method. According with fault analysis of phase components, a residual voltage transformation method for short-circuit current calculation is presented with matrix translation in the place of classical sequence networks connection, which is suitable for both phase coordinates and symmetrical components coordinates. Calculation formulas are proposed with matrices calculation to deal with unsymmetrical faults and parameter matrices for various faults are listed. Analysis of simultaneous faults with unbalanced parameter element is done without calculation qualities increased. Simple examples have shown that the method is practical and suitable for programming.
Along with the improved design and broad applications of multi-level topologies, as a new commercial power switch device in recent years, IGCT has led the rapid development of high power converters in many application...
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Along with the improved design and broad applications of multi-level topologies, as a new commercial power switch device in recent years, IGCT has led the rapid development of high power converters in many applications, such as medium voltage adjustable speed drive and FACTs. Since the power electronic device is the base of these converters, the switching-off characteristics of IGCTs have become one of the key points in converters' design and analysis, especially when snubber circuits are absent. This paper focuses on the snubberless switching-off characteristics of IGCTs equipped in the high power three-level neutral point clamped (NPC) converter. According to the physical characteristics of switch devices and commutating mechanism between different switching processes in the converter, the switching-off characteristics of IGCTs in different topology positions under different switching conditions are described, simulated and tested. The results of simulation and experiments are compared, especially the voltage spikes by IGCTs' switching off. The relation between the switching-off characteristics and the other elements of the converter is also discussed in detail, such as topology position, PWM strategy and mechanical structure. Finally, some helpful conclusions for high power converters' design and analysis are drawn
This paper presents a predictive control method to the output probability density function (PDF) control for a dynamic flame system. The system consists of a static temperature model of gas jet flames and a second ord...
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ISBN:
(纸本)0780389379
This paper presents a predictive control method to the output probability density function (PDF) control for a dynamic flame system. The system consists of a static temperature model of gas jet flames and a second order actuator which leads the closed loop system to be a second order dynamic one. At first, the temperature distribution of the flame along the cross section is approximated. Then the flame energy distribution (FED) is obtained as the output to be controlled as approximated by a B-spline expansion. A singular state space model is used to describe the dynamic system with the weights of the B-spline functions as the state variables. Finally, a predictive control algorithm is designed for such an output PDF system. A case study has been included in this paper on the closed loop control of the combustion flames distribution systems
This study is an effort to give a practical solution in the problem of optimizing the structure of the Hierarchical Mixture of Experts model, which is a natural extension of the Associative Gaussian Mixture of Experts...
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ISBN:
(纸本)0780382781
This study is an effort to give a practical solution in the problem of optimizing the structure of the Hierarchical Mixture of Experts model, which is a natural extension of the Associative Gaussian Mixture of Experts system. We present two novel methods for optimizing such structures using Genetic Algorithms. Special concern is taken for reducing the computational time so as to efficiently allow the structure to "grow" while it evolves with the Genetic Algorithm. The main contribution of the paper lies on the efficient, topologically oriented, representations of such architectures so as to be optimized through involving genetic algorithms.
Magnetically controlled shape memory (MSM) materials are a new way to produce motion and force. The material changes shape in a magnetic field. Shape changes are even 10 percent and response time is less than a millis...
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ISBN:
(纸本)0780386108
Magnetically controlled shape memory (MSM) materials are a new way to produce motion and force. The material changes shape in a magnetic field. Shape changes are even 10 percent and response time is less than a millisecond. Usual applications of the material are actuators that produce linear motion. In this paper the magnetic controlled properties of MSM material, the operation principle, design and control method of an inchworm type linear MSM motor are introduced. The tested results of a prototype machine are also presented.
When the process uncertainty size increases, even linear minimum phase systems must sacrifice desirable aggressive feedback control benefits to avoid an excessive 'cost of feedback', while preserving the robus...
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Tracking feedback control trade-offs increase dangerously with arbitrarily large uncertainties in the process mode!. This is shown by the bounds in the QFT domain. In this context, the paper develops a theory on the c...
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This paper proposes the development of a fuzzy predictive control. Genetic algorithms (GA's) are used to automatically tune the controller. A recurrent neural network is used to identify the process, and then prov...
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This paper proposes the development of a fuzzy predictive control. Genetic algorithms (GA's) are used to automatically tune the controller. A recurrent neural network is used to identify the process, and then provides predictions about the process behavior, based on control actions applied to the system. These predictions are used by the fuzzy controller, in order to accomplish a better control of an alcoholic fermentation process from chemical industry. This problem has been chosen due to its non-linearity and large accommodation time, that make it hard to control by standard controllers. Comparison of performance is made with non-predictive approaches(PID and Fuzzy-PD), and also with another predictive approach, GPC(Generalized Predictive control).
Tracking feedback control trade-offs increase dangerously with arbitrarily large uncertainties in the process model. This is shown by the bounds in the QFT domain. In this context, the paper develops a theory on the c...
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Tracking feedback control trade-offs increase dangerously with arbitrarily large uncertainties in the process model. This is shown by the bounds in the QFT domain. In this context, the paper develops a theory on the contribution of the plant uncertainty to the tracking QFT bounds through a serious study of tracking bound formulas. From this, a methodology for uncertainty fragmentation is developed. It hopes to loosen the bound toughness, or the control design trade-offs. Better feedback benefits can be achieved while reducing the high-frequency amplification of noises and disturbances at the plant input at the same time. Different QFT controllers in a controller-scheduler structure should drive different uncertainty boundaries.
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