Kyeong-Ho Choi

Yeungnam College of Science and Technology, Daikyū, Daegu, South Korea

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Publications (8)0 Total impact

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    ABSTRACT: This paper presents a position sensorless control system of SRM over wide speed range. The rotor position estimation of the SRM is somewhat difficult because of its highly nonlinear characteristics. In this paper, the magnetizing curve of prototype 1-hp SRM is obtained from locked rotor test and complicated data patters are trained using neural network. To estimate more accurate rotor position, current-flux-rotor position lookup table over wide operating rage is generated using trained neural network. Experimental result for a 1-hp SRM over 16:1 speed control range is presented for the verification of the proposed sensorless control algorithm.
    Power Electronics, 2007. ICPE '07. 7th Internatonal Conference on; 11/2007
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    ABSTRACT: This paper presents a high performance position control system of switched reluctance motor (SRM). Recently, the variable-speed and servo drive systems have been developed because of industrial automation. One of the possible electrical machines in modern servo drive system is the SRM. The control of SRM drive system requires several controllers including switching angle and current controller. Generally switching angle controller is used to increase the drive efficiency, while current controller is adapted to control the electromagnetic torque and to prohibit the over-current. Due to the development of high performance micro-controllers, such as TMS320F2812 Digital Signal Processor (DSP), many complicated control algorithms can be realized. In this paper, a position control system of SRM is suggested to verify the possibility of SRM in servo drive application. A prototype 1-hp SRM is used to prove the validity of this algorithm.
    Power Conversion Conference - Nagoya, 2007. PCC '07; 05/2007
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    ABSTRACT: This paper presents a high performance motion control system of switched reluctance motor (SRM). Recently, the variable-speed and servo drive systems have been developed because of industrial automation. One of the possible electrical machines in modern servo drive system is the SRM. The control of SRM drive system requires several controllers including switching angle and current controller. Generally switching angle controller is used to increase the drive efficiency, while current controller is adapted to control the electromagnetic torque and to prohibit the over-current. Due to the development of high performance micro-controllers, such as TMS320F2812 digital signal processor (DSP), many complicated control algorithms can be realized. In this paper, a motion control system of SRM is suggested to verify the possibility of SRM in servo drive application. A prototype 1-hp SRM is used to prove the validity of this algorithm
    PESC Record - IEEE Annual Power Electronics Specialists Conference 01/2006;
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    ABSTRACT: This paper presents results of the finite-element (FE) analysis of air-gap flux variation in an induction motor when the rotor vibrates due to its eccentricity. An accurate modeling and analysis of rotor vibration in the machine are made using air-gap flux simulation, and search coils are used for measuring the actual air-gap flux. The simulation was done for the induction motor with 380 [V], 5 [HP], 4P, 1,742 [rpm] ratings using the commercial FE analysis tool. The simulation and experiment results can be useful for on-line vibration monitoring of an induction motor.
    Industrial Electronics Society, 2005. IECON 2005. 31st Annual Conference of IEEE; 12/2005
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    ABSTRACT: In this paper, improved rotor position estimation for position sensorless control system of the switched reluctance motor (SRM) is presented. For more accurate rotor position estimation, the phase locked loop (PLL) based position interpolation is adapted. In the current-flux-rotor position lookup table based rotor position estimation, the inherent current and flux-linkage ripple can cause the position estimation error. Instead of the conventional low-pass filter, the PLL based position interpolation technique is used for the better dynamic performance. The developed rotor position estimation scheme is realized using TMS320 F2812 digital signal processor and prototype 1-hp SRM.
    Industrial Electronics, 2005. ISIE 2005. Proceedings of the IEEE International Symposium on; 07/2005
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    ABSTRACT: This paper presents results of the finite-element (FE) analysis of air-gap flux variation in an induction motor when the rotor vibrates due to its eccentricity. An accurate modeling and analysis of rotor vibration in the machine are made using air-gap flux simulation, and search coils are used for measuring the actual air-gap flux. The simulation was done for the induction motor with 380 [V], 5 [HP], 4P, 1,742 [rpm] ratings using the commercial FE analysis tool. The simulation results can be useful for on-line vibration monitoring of an induction motor.
    Industrial Electronics, 2005. ISIE 2005. Proceedings of the IEEE International Symposium on; 07/2005
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    ABSTRACT: In this paper, the design and characteristics analysis of dual axial-flux permanent magnet synchronous generator, 60 |Hz|, 10 |kVA|, 300 |rpm| for wind energy system application are presented. The dual axial-flux generator has inherently desirable features such as; (1) by employing two air gaps, the rotor-stator attractive forces are balanced and no net axial or thrust load is applied on the generator bearings; (2) heat produced by the stator windings appears on the outside of the generator, and it is easy to remove the heat. This paper describes characteristics of a dual axial-flux type permanent-magnet generator for a gearless wind energy system, which aims to satisfy the variable operating conditions. Finite-element method (FEM) is applied to analyze generator performance at variable loads. The results of FE analysis show this generator has a promising future for wind turbine applications.
    Industrial Electronics Society, 2004. IECON 2004. 30th Annual Conference of IEEE; 12/2004
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    ABSTRACT: This paper presents an implementation of efficiency optimization of reluctance synchronous motor (RSM) using a neural network (NN) with an direct torque control (DTC). The equipment circuit in RSM, which consider with iron losses is theoretically analyzed and the optimal current ration between torque current and exiting current analytically derived. For RSM, torque dynamics can be maintained even with controlling the flux level because a torque is directly proportional to the stator current unlike induction motor. In order to drive RSM at maximum efficiency and good dynamics response, the NN is used. The experimental results are presented to validate the applicability of the proposed method. The developed control system show high efficiency and good dynamic response features with 1.0 [kW] RSM having 2.57 ratio of d/q.
    Industrial Electronics Society, 2003. IECON '03. The 29th Annual Conference of the IEEE; 12/2003