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A Position Sensorless Control System of SRM over Wide Speed Range
Won-Sik Baik 한국조명·전기설비학회 2008 조명·전기설비학회논문지 Vol.22 No.3
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 l-hp SRM over 16:1 speed range are presented for the verification of the proposed sensorless control algorithm.
EMI Noise Reduction with New Active Zero State PWM for Integrated Dynamic Brake Systems
Baik, Jae-Hyuk,Yun, Sang-Won,Kim, Dong-Sik,Kwon, Chun-Ki,Yoo, Ji-Yoon The Korean Institute of Power Electronics 2018 JOURNAL OF POWER ELECTRONICS Vol.18 No.3
Based on the application of an integrated dynamic brake (IDB) system that uses a PWM inverter fed-AC motor drive to operate the piston, a new active zero state PWM (AZSPWM) is proposed to improve the stability and reliability of the IDB system by suppressing the conducted electro-magnetic interference (EMI) noise under a wide range of load torque. The new AZSPWM reduces common-mode voltage (CMV) by one-third when compared to that of the conventional space vector PWM (CSVPWM). Although this method slightly increases the output current ripple by reducing the CMV, like the CSVPWM, it can be used within the full range of the load torque. Further, unlike other reduced common-mode voltage (RCMV) PWMs, it does not increase the switching power loss. A theoretical analysis is presented and experiments are performed to demonstrate the effectiveness of this method.
A Position Sensorless Control System of SRM over Wide Speed Range
Baik, Won-Sik The Korean Institute of IIIuminating and Electrica 2008 조명·전기설비학회논문지 Vol.22 No.3
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 Reconfigurable Circularly Polarized Microstrip Antenna With a Slotted Ground Plane
Won-Sang Yoon,Jung-Woo Baik,Hun-Sung Lee,Seongmin Pyo,Sang-Min Han,Young-Sik Kim IEEE 2010 IEEE antennas and wireless propagation letters Vol.9 No.-
<P>This letter describes a square patch antenna with a switchable circular polarization (CP) sense. The proposed antenna has four L-shaped slots on the ground plane, and the CP radiation can be generated by current perturbation due to the slotted ground plane. Because the CP sense of the proposed antenna is altered by the current path that is redirected with switched p-i-n diodes on the slots, the CP direction of the proposed antenna can be simply switched between the right-handed and left-handed CPs. As the slot and bias circuits are not placed on the patch side, the proposed antenna has a simple structure and can radiate a CP wave without altering the main beam direction. The experimental results show that antennas have excellent switchable radiation performance at 2.4 GHz.</P>
Baik, Jae-Hyuk,Yun, Sang-Won,Kim, Dong-Sik,Kwon, Chun-Ki,Yoo, Ji-Yoon The Korean Institute of Power Electronics 2020 JOURNAL OF POWER ELECTRONICS Vol.20 No.3
A new space vector pulse-width modulation (SVPWM) technique to eliminate common-mode voltage (CMV) is proposed for a dual three-phase inverter fed-dual-winding fault-tolerant permanent magnet motor (FTPMM) drive. In general, since both the PWM module-1 of an inverter-1 drive and the PWM module-2 of an inverter-2 drive adopt the conventional SVPWM (CSVPWM) technique, two identical CMVs are generated in the drives. Each of the CMCs generated by the CMVs flows through the stray capacitances between the stator windings and the motor frame. These currents flow into the ground of the drive, where they are combined. Hence, in the proposed technique, each of the PWM modules adopts the remote-state PWM (RSPWM)2A and RSPWM2B. As a result, two CMVs with same absolute values and opposite polarities are generated at every switching period, and the corresponding generalized total CMV of the dual-winding FTPMM drive always becomes zero. Analytical and experimental results are provided to verify the validity of the proposed technique.
A high performance Position Sensorless Control System of SRM using Neural Network
Won-Sik Baik,Min-Huei Kim,Nam-Hun Kim,Dong-Hee Kim,Kyeong-Ho Choi 전력전자학회 2004 ICPE(ISPE)논문집 Vol.- No.-
In this paper, a high performance position sensorless control scheme of Switched Reluctance Motor (SRM) using Neural Network is presented. The control of an SRM depends on the commutation of the stator phases in synchronism with the rotor position. The position sensing requirement increases the overall cost and complexity.<br/> Moreover, a high performance of motor drive system is required for many industrial applications. From these reasons, variable speed rotor position estimation algorithm is developed. The developed rotor position scheme is realized using TMS320F2812 digital signal processor and 1-hp SRM.
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.
마이크로 모터 핸드피스를 위한 BLDC 전동기 제어시스템 개발
백원식(Won-Sik Baik),송현직(Hyun-Jig Song),김민회(Min-Huei Kim),김동희(Dong-Hee Kim),이헌욱(Heon-Uk Lee),황돈하(Don-Ha Hwang) 한국조명·전기설비학회 2008 한국조명·전기설비학회 학술대회논문집 Vol.2008 No.5월
The permanent magnet BLDC motors are increasingly being used in high performance applications due to the high torque density and simplicity in their control. In this paper, the control system of the BLDC motor is developed which can be used for the micro motor handpiece, and position sensorless control is realized using back EMF measurement scheme. The validity and practical applications of the developed slotless BLDC motor and drive system are verified through the experimental results.
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.