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고성능 DSP를 이용한 위치 검출기 없는 스위치드 릴럭턴스 전동기의 제어시스템
백원식(Won-Sik Baik),김민회(Min-Huei Kim),김동희(Dong-Hee Kim),임태훈(Tae-Hoon Lim),최경호(Kyeong-Ho Choi),황돈하(Don-Ha Hwang) 전력전자학회 2004 전력전자학술대회 논문집 Vol.- No.-
This paper presents a position sensorless control system of Switched Reluctance Motor (SRM) using high performance Digital Signal Processor (DSP). The control of SRM depends on the commutation of the stator phases in synchronism with the rotor position. Because of the position sensing requirement increases the overall cost and complexity, position sensorless operation is needed. To estimate the rotor position from electrical parameters, much calculation time is required. This control system can be realized using high performance DSP.
신경회로망을 이용한 SRM의 토크 추정과 스위칭 각 제어
백원식(Won-Sik Baik),김남훈(Nam-Hun Kim),최경호(Kyeong-Ho Choi),김동희(Dong-Hee Kim),김민회(Min-Huei Kim) 전력전자학회 2002 전력전자학술대회 논문집 Vol.- No.-
This paper presents a simple torque estimation method and the switching angle control of SRM using Neural Network. SRM has gaining much interest as industrial applications due to the simple structure and high efficiency Adaptive switching angle control is essential for the opt1mal driving of a SRM because of the driving characteristic varies with the load and speed. The proper switching angle which can increase the efficiency was invest1gated in th1s paper. Neural Network was adapted to regulate the switching angle and nonlinear inductance modelling. Experimental result shows the validity of the switching angle controller.
스위치드 릴럭턴스 전동기의 히스테리시스 및 PI 전류제어기 응답특성
백원식(Won-Sik Baik),김민회(Min-Huei Kim),김동희(Dong-Hee Kim),최경호(Kyeong-Ho Choi),황돈하(Don-Ha Hwang) 전력전자학회 2006 전력전자학술대회 논문집 Vol.- No.-
This paper presents a comparisons of different current controller response characteristics of SRM. The most common current controllers of the SRM is hysteresis type. The hysteresis controller is easy to implement and fast current control response, but has the inherent disadvantage of switching frequency variations. The other common type of current controller is PI scheme. The design of a classical PI current controller with fixed parameters for SRM is not an easy task due to the extreme nonlinear characteristics. In this paper, some linearization technique is used for design of PI current controller. Experimental results of 1-hp SRM are presented for the basic reference data which can be used to select the proper current control scheme according to the applications.
비선형 인덕턴스 변화특성을 고려한 SRM의 회전자 위치 추정
백원식(Won-Sik Baik),김남훈(Nam-Hun Kim),김동희(Dong-Hee Kim),최경호(Kyeong-Ho Choi),김민회(Min-Huei Kim) 전력전자학회 2004 전력전자학술대회 논문집 Vol.- No.-
This paper presents a simulation results of sensorless control of Switched Reluctance Motor(SRM) using neural network. The basic algorithm of this scheme is based on the flux linkage characteristic according to the phase current and the rotor position. A sufficient simulation data was used for neural network training. Through measurement of the phase flux linkage and phase currents the neural network is able to estimate the rotor position. The simulation result shows some good results, and possibility of this algorithm.
SRM의 최적운전을 위한 순시토크 추정과 스위칭 각 제어
백원식(Won-Sik Baik),김민회(Min-Huei Kim),김남훈(Nam-Hun Kim),최경호(Kyeong-Ho Choi),김동희(Dong-Hee Kim) 전력전자학회 2004 전력전자학술대회 논문집 Vol.- No.-
This paper presents a simple torque estimation method and switching angle control of Switched Reluctance Motor (SRM) using Neural Network (NN). SRM has gaining much interest as industrial applications due to the simple structure and high efficiency. Adaptive switching angle control is essential for the optimal driving of SRM because of the driving characteristic varies with the load and speed. The proper switching angle which can increase the efficiency was investigated in this paper. NN was adapted to regulate the switching angle and nonlinear inductance modelling. Experimental result shows the validity of the switching angle controller.
백원식(Won-Sik Baik),최경호(Kyeong-Ho Choi),김민희(Min-Huei Kim),김동희(Dong-Hee Kim) 전력전자학회 2001 전력전자학술대회 논문집 Vol.2001 No.7
The low cost, ruggedness, and reliability of switched reluctance motor(SRM) drive makes them potentially suitable for many industrial applications. But the generation of a high-level torque ripple and the acoustic noise restricts the practical application range. This paper analyzes the torque characteristic of SRM according to rotor pole arc and the effect of turn-on and turn-off angles to reduce the torque ripple. The simulation result shows the different torque characteristic of each cases.
신경회로망을 이용한 위치센서 없는 스위치드 릴럭턴스 전동기의 제어시스템
백원식(Won-Sik Baik),임태훈(Tae-Hoon Lim),배성우(Sung-Woo Bae),김남훈(Nam-Hun Kim),최경호(Kyeong-Ho Choi),김동희(Dong-Hee Kim),김민회(Min-Huei Kim) 전력전자학회 2003 전력전자학술대회 논문집 Vol.2003 No.11
This paper presents a position sensorless control system of Switched Reluctance Motor(SRM) using Neural Network. The basic algorithm of this scheme is based on the flux linkage characteristic according to the phase currents and rotor position A sufficient experimental data was used for neural network training. The proposed position sensorless control system was realized using TMS320F240 DSP. The experimental result shows some good results, and verifies the possibility of this algorithm.
디지털 히스테리시스 제어기를 이용한 SRM의 위치제어시스템
백원식(Won-Sik Baik),김남훈(Nam-Hun Kim),최경호(Kyeong-Ho Choi),김동희(Dong-Hee Kim),김민희(Min-Huei Kim),황돈하(Don-Ha Hwang) 전력전자학회 2001 전력전자학술대회 논문집 Vol.2001 No.-
This paper presents an implementation of motion control system of Switched Reluctance Motor (SRM) using digital hysteresis controller by TMS320F240 DSP SRM position control system possess several advantages over other motors, including high efficiency, simple structure, low cost, and four-quadrant operation at a wide speed range, especially for the servo drive systems with precision, stability and fast response characteristics in the industrial applications. In the suggested motion control system, position control using digital hysteresis controller is developed, and is evaluated using experimental testing The developed system for cost reduction and high-performance by fully digital controller is shown a good response characteristic of motion control results.<br/> <br/>
SRM의 쇄교자속 모델링을 통한 회전자 위치 추정기법의 시뮬레이션
백원식(Won-Sik Baik),김남훈(Nam-Hun Kim),김동희(Dong-Hee Kim),최경호(Kyeong-Ho Choi),김민희(Min-Huei Kim) 전력전자학회 2002 전력전자학술대회 논문집 Vol.- No.-
This paper presents a simulation results of sensorless control of Switched Reluctance Motor(SRM) using neural network The basic algorithm of tills scheme is based on the flux linkage characteristic according to the phase current and the rotor position. A sufficient simulation data was used for neural network training. Through measurement of the phase flux linkage and phase currents the neural network is able to estimate the rotor position The simulation result shows some good results, and possibility of this algorithm.