EPE Journal Volume 10-2 |
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EPE Journal Volume 10-2 - EditorialEPE Journal Volume 10-2 - Papers |
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## EPE Journal Volume 10-2 - Editorial | ||||

Research in Power Electronics and Energy Conversion - Do we need a joint European initiative?
[Details]
By W. LeonhardThe Editorial of the EPE Journal Volume 10 N°2, "Research in Power Electronics and Energy Conversion - Do we need a joint European initiative?", written by Prof. Werner Leonhard, EPE Association. | ||||

## EPE Journal Volume 10-2 - Papers | ||||

Thermal Analysis of Plates with Different Geometry
[Details]
By M. FaschingA detailed analysis of the thermal resistance of a plate is given. The plate sits between a heat source and an extensive heat sink. The thermal resistance strongly depends on the overlap of the plate around the heat source. Another important factor is the coefficient of heat transfer between plate and heat sink (ã). The goal of this article is to find an optimal geometry of the plate so that the sum of thermal resistance of conduction and thermal transfer resistance to the heat sink becomes a minimum. The approach is a practical one where results of measurements are generalized with help of the finite element method (FEM). An easy-to-use method for finding ã is presented. ã has a strong influence on the optimal thickness of the plate which makes the thermal resistance minimal for given lateral expansions. The geometry of such a stack can only be optimalized for one specific cooling condition. | ||||

Self-Learning Control of Pulse Converter Non-linearities
[Details]
By V. Wesselak; N. Klaassen; F. BauerA new self-learning control algorithm is presented, designed for plants with unknown cyclic or state-dependant disturbances. Exemplified by the compensation of pulse converter non-linearities the control structure is explained. The control performance is illustrated by measurements from a real-time experimental set-up. | ||||

Neuro-Fuzzy Controller in a Field Oriented Control for Induction Motors
[Details]
By L. Baghli; H. Razik; A. RezzougThis paper is intended to show how to replace a fuzzy controller by a neural network one in a rotor field oriented control for induction motors. The output surface of the fuzzy controller is approached by a neural network. The neural network structure used for this controller is presented as well as the learning process necessary to prepare the neural network controller to act like a fuzzy one. Experimental results on position control and speed control under load are presented and commented as well as a discussion and comparison with classical PI controllers. | ||||

Separating Common Mode and Differential Mode Noise in EMI Measurement
[Details]
By A. Nagel; R. W. De DonckerThe separation of differential mode and common mode noise in EMI analysis is a well known procedure which is useful especially for the analysis and the understanding of interference phenomena of power converters. However, separating both components is rarely done during measurements. Therefore, two different appoaches are developed and evaluated in this paper to realize separated common mode and differential mode measurements. |