• Title/Summary/Keyword: Doubly salient

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Characteristic Comparison with respect to Doubly salient Types (이중돌극기의 종류에 따른 특성 비교)

  • Kim, Youn-Sung;Jin, Chang-Sung;Kim, Seung-Joo;Lee, Ho-Joon;Kim, Koung-Bum;Lee, Ju;Jung, In-Sung
    • Proceedings of the KIEE Conference
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    • 2009.07a
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    • pp.766_767
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    • 2009
  • Generally, the Doubly Salient Machine such as Switched Reluctance Motor doesn't have Permanent Magnet, it sometimes adopts permanent magnet or DC filed winding for high efficiency or adjustable speed control. In this paper, adjustable speed range is compared for Doubly Salient Permanent Magnet Machine (DSPM), Brushless Doubly Fed Doubly Salient Machine (BDFDS) and Hybrid Excited Doubly Salient Machine (HEDS). Especially, air-gap flux density to the DC field current is shown and the operating speed as the field-weakening is estimated.

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A Novel Stator Hybrid Excited Doubly Salient Permanent Magnet Brushless Machine for Electric Vehicles

  • Zhu Xiaoyong;Cheng Ming
    • Journal of Electrical Engineering and Technology
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    • v.1 no.2
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    • pp.185-191
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    • 2006
  • In this paper, a novel stator hybrid excited doubly salient permanent magnet (SHEDS-PM) brushless machine with a special magnetic bridge is proposed for the first time. The originality of this machine is purposely to add a magnetic bridge in shunt with each PM pole, which not only maintains the stator lamination in its entireness, but also amplifies the effect of DC field flux on PM flux. An equivalent magnetic circuit is presented to clarify the novelty. Based on the 2-D finite element analysis, the static characteristics of the SHEDS-PM machine, namely phase flux linkage, back-EMF, cogging torque, winding inductance and static torque are deduced. The corresponding results on a prototype machine illustrate that the proposed machine is promising for application to electric vehicles.

On the Distribution and Its Properties of the Sum of a Normal and a Doubly Truncated Normal

  • Kim, Hea-Jung
    • Communications for Statistical Applications and Methods
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    • v.13 no.2
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    • pp.255-266
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    • 2006
  • This paper proposes a class of distributions which is useful in making inferences about the sum of values from a normal and a doubly truncated normal distribution. It is seen that the class is associated with the conditional distributions of truncated bivariate normal. The salient features of the class are mathematical tractability and strict inclusion of the normal and the skew-normal laws. Further it includes a shape parameter, to some extent, controls the index of skewness so that the class of distributions will prove useful in other contexts. Necessary theories involved in deriving the class of distributions are provided and some properties of the class are also studied.

Speed Control of SRM using Braking Operation (BRAKING을 고려한 SRM의 속도제어)

  • Shin, Jeong-Gi;Nam, Jeong-Han;Kwon, Young-Ahn
    • Proceedings of the KIEE Conference
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    • 1996.07a
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    • pp.92-94
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    • 1996
  • The switched reluctance motor(SRM) has a simple structure with a doubly-salient and is studied as a variable speed motor since it has a good performance in a wide range of speed and torque. This paper presents the control scheme in which ON/OFF angles are controlled by PI controller that compensates the error between the command and real speeds, and the speed response is improved by braking operation in motor decelerating.

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A Novel Design Technique to Improve the Performance of Flux-Reversal Machine (성능 개선을 위한 자속 역전식 기기의 설계 기법)

  • Kim Tae Heoung;Lee Ju;Lee Sang-Don
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.53 no.12
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    • pp.700-708
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    • 2004
  • Flux-reversal machine (FRM) is a new doubly-salient stator-permanent magnet (PM) machine with flux linkage reversal in the stator concentrated windings. It can operate in both motoring and generating modes. In this paper, a novel design technique to improve the performance of FRM is proposed. Proposed techniques have a new stator winding and a magnet arrangement method. The stator and rotor shape with a concave type and a flux barrier are also proposed. According to the experimental results, it is shown that the proposed FRM have an improved performance.

Characteristics Analysis of Flux-Reversal Machine considering BEMF Current (역기전력 전류를 고려한 자속 역전식 기기의 특성 해석)

  • Kim Tae Heoung;Lee Ju
    • The Transactions of the Korean Institute of Electrical Engineers B
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    • v.53 no.12
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    • pp.709-717
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    • 2004
  • Flux-reversal machine (FRM) is a new brushless doubly salient permanent magnet machine. Its operation is similar to that of the brushless DC motor, so it can be driven by 120 degree square wave voltage and use PWM pulse patterns in two-phase feeding scheme to control the speed. In this driving method, the back electromotive force (BEMF) current in the open phase is generated by the BEMF. It can be appeared or disappeared according to the changes of the neutral voltage of the machine. In this paper, the time-stepped voltage source finite-element method taking BEMF current into account is proposed. Its influences on the performances of the FRM are also investigated. To prove the propriety of the proposed analysis method, a Digital Signal Processor (DSP) installed experimental devices are equipped and the experiment is performed.

A Position Sensorless Control System of SRM over Wide Speed Range

  • Baik, Won-Sik
    • Journal of the Korean Institute of Illuminating and Electrical Installation Engineers
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    • v.22 no.3
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    • pp.66-73
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    • 2008
  • This paper presents a position sensorless control system of SRM over wide speed range. Due to the doubly salient structure of the SRM, the phase inductance varies along with the rotor position. Most of the sensorless control techniques are based on the fact that the magnetic status of the SRM is a function of the angular rotor position. The rotor position estimation of the SRM is somewhat difficult because of its highly nonlinear magnetizing characteristics. In order to estimate more accurate rotor position over wide speed range, Neural Network is used for this highly nonlinear function approximation. Magnetizing data patterns of the prototype 1-hp SRM are obtained from locked rotor test, and used for the Neural Network training data set. Through measurement of the flux-linkage and phase currents, rotor position is able to estimate from current-flux-rotor position lookup table which is constructed from trained Neural Network. Experimental results for a 1-hp SRM over 16:1 speed range are presented for the verification of the proposed sensorless control algorithm.

A Study on the Iron Losses in Flux-Switching Permanent Magnet Machines

  • Shin, Heung-Kyo
    • Journal of Electrical Engineering and Technology
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    • v.13 no.2
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    • pp.699-703
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    • 2018
  • Flux-switching permanent magnet machines (FSPMM) have doubly-salient and simple structures making it cost effective and suitable for mass production. In addition, it is possible to increase the rotor rotating speed and concentrate the flux of the permanent magnet on the air-gap. Due to these merits, the FSPMM can be applied to the various industry applications. To improve the performance, various design variables need to be studied in terms of design techniques. In this paper, we especially concentrate on the distribution of iron losses using a two-dimensional finite-element method (2D FEM). As a result, we can get an information for high efficiency FSPMM design.