Kyoung Jin Joo

Kyoung Jin Joo

orcid

Research Focus & Metrics

Academic Career Length

11Years (2016-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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20 January 2017 in IEEE Transactions on Magnetics
Verified
Journal Article
Closed access
KJKyoung Jin Joo
Kyoung Jin Joo
IKIn-Gun Kim
In-Gun Kim
JLJu Lee
Ju Lee
SGSung-Chul Go
Sung-Chul Go
Recently, the permanent magnet-assisted synchronous reluctance motor (PMa-SynRM) that can replace induction motor has been more studying because of the needs of the high efficiency motor development for minimum energy performance standard. PMa-SynRM requires the speed and position information of rotor to control motor correctly. However, sensor for rotor information has many problems such as mounting space shortage and the additional system cost. Therefore, in this paper, the speed-sensorless control based on reference model adaptive control is introduced to eliminate the sensor. And mechanical design is improved for control. The proposed method is verified by simulation.

24 September 2018 in IEEE Transactions on Magnetics
Verified
Journal Article
Closed access
HLHuai-Cong Liu
Huai-Cong Liu
KJKyoung Jin Joo
Kyoung Jin Joo
Ye Jun OhYe Jun Oh
Ye Jun Oh
Ho-Joon LeeHo-Joon Lee
Ho-Joon Lee
HSHyun-Soo Seol
Hyun-Soo Seol
JLJu Lee
Ju Lee
In this paper, the optimal design for a permanent magnet-assisted synchronous reluctance motor (PMA-SynRM) is proposed in terms of efficiency, maximum torque, and minimum torque pulsations. Design variables, objective functions, and constraints are selected for this optimal design, which is divided into two steps. Step I utilizes the pole/slot combination of the PMA-SynRM and winding methods. The chosen 4-pole/36-slot model with distributed winding maximizes the rated efficiency. In Step II, the optimal design of the stator parameters is obtained using the response surface method and the precise torque and torque ripple are calculated using the finite-element analysis (FEA). The proposed stator slot openings are minimized to minimize the air-gap flux leakage, and consequently, realize a smooth electromagnetic torque. Finally, a few FEA results are validated by experimental results.

2 June 2018 in Energies
Verified
Journal Article
Open access
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KJKyoung Jin Joo
Kyoung Jin Joo
Joon Sung ParkJoon Sung Park
Joon Sung Park
JLJu Lee
Ju Lee
When a consumer chooses a product, one of the most important considerations is price. Therefore, cost reduction is the most important factor when manufacturing a product. This paper has applied the sensorless method to remove the position sensor in an interior permanent magnet synchronous motor (IPMSM) system and examined the way to reduce the use of the trigonometric function in order to lower the dependency on a high-end CPU. A sensorless method has been studied to use an extended electromotive force (EEMF) that can increase the degree of freedom of the motor in the IPMSM system. In addition, an observer is applied to the estimated position to stabilize the system. Furthermore, many trigonometric functions are used for driving the IPMSM. Since this trigonometric function requires decimal point operations, that requires a lot of computation time and a high-performance CPU. Therefore, this paper proposes a new method to pre-compensate the maximum torque per ampere (MTPA) angle as a way to reduce the use of the trigonometric functions which makes a high-spec CPU unnecessary. Simulations and experiments are conducted to verify the proposed control algorithm.

1 November 2016
Verified
Conference Paper
Closed access
KJKyoung Jin Joo
Kyoung Jin Joo
SCSu Yeon Cho
Su Yeon Cho
SJSoo-Jin Jung
Soo-Jin Jung
JLJu Lee
Ju Lee
Recently, the permanent magnet-assisted synchronous reluctance motor (PMa-SynRM) that can replace an induction motor has been studying because of the needs of the high efficiency motor development for the minimum energy performance standard (MEPS). PMa-SynRM requires the speed and position information of the rotor to control motor correctly. However, a sensor for the rotor information has many problems such as mounting space shortage and additional system cost. Therefore, in this paper, the speed-sensorless control based on model reference adaptive system (MRAS) is introduced to eliminate the sensor. The proposed algorithm is verified by the simulation.

20 June 2018 in Energies
Verified
Journal Article
Open access
PDF file
KJKyoung Jin Joo
Kyoung Jin Joo
GLGang Seok Lee
Gang Seok Lee
HHHyun Seok Hong
Hyun Seok Hong
SWSung Hong Won
Sung Hong Won
JLJu Lee
Ju Lee
Since an existing 3-phase inner rotor torque actuator (TA) has severe torque ripples, it is not appropriate for a gimbal system that requires precise position control. Therefore, a coreless TA is considered to eliminate the core causing torque ripples. In order to compensate for several problems (e.g., problems of production structures and output degradation) when a coreless type is used, the final 2-phase outer rotor is proposed for the low vibration and high power TA in the gimbal system. To control the 2-phase TA applied to such the gimbal system, special inverter control methods, such as bi-directional drive for tilting control and control for output torque improvement, are required. The 2-phase 3-leg inverter is free of DC capacitor voltage unbalance compared to the 2-leg inverter, and is economical because it uses less power switches than the 4-leg inverter. Therefore, the 2-phase 3-leg inverter is applied to drive the 2-phase outer rotor coreless TA of a hybrid gimbal system, and it is verified through simulation.

1 November 2016
Verified
Conference Paper
Closed access
TJTae Chul Jeong
Tae Chul Jeong
DKDong Woo Kang
Dong Woo Kang
GJGeo Chul Jeong
Geo Chul Jeong
KJKyoung Jin Joo
Kyoung Jin Joo
JLJu Lee
Ju Lee
This presents a methodology to determine detail design directions of an 150kW-class IPMSM and its detail design. The basic design of the stator and rotor was conducted. After dividing the designed models into the best cases and the worst cases based on rotor shape parameters, Sensitivity Analysis and 3D Voltage-Inductance Map parameters were analyzed. Then, the design direction for the final model was predicted. Based on the prediction, the final model was extracted with Trend Analysis. Lastly, the final model was validated with experiments.