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IPMSM 드라이브의 효율 최적화를 위한 Adaptive-FNIS 제어
정병진(Byung-Jin Jung),고재섭(Jae-Sub Ko),최정식(Jung-Sik Choi),정철호(Chul-Ho Jung),김도연(Do-Yeon Kim),정동화(Dong-Hwa Chung) 대한전기학회 2008 대한전기학회 학술대회 논문집 Vol.2008 No.4
Interior permanent magnet synchronous motor(IPMSM) has become a popular choice in electric vehicle applications, due to their excellent power to weight ratio. In order to maximize the efficiency in such applications, this paper proposes the Adaptive-FNIS(Fuzzy Neural Network Inference System). The controllable electrical loss which consists of the copper loss and the iron loss can be minimized by the optimal d-axis current i<SUB>d</SUB>. This paper considers the parameter variation about the motor operation. The operating characteristics controlled by efficiency optimization control are examined in detail.
작업물 정밀 조작을 위한 접촉력 센싱 기능을 가지는 그리퍼 툴팁 개발
정병진(Byung-Jin Jung),김태근(Tae-Keun Kim),김신권(Kim sin kwon),김새한(Sae-han Kim),황정훈(Jung-Hoon Hwang) 대한기계학회 2020 대한기계학회 춘추학술대회 Vol.2020 No.12
Recently, interest in a method of performing sophisticated object manipulation by combining a gripper having a simple mechanism (such as 1 degree of freedom -2 finger) and artificial intelligence is increasing. In order to perform high-level work such as sewing, assembling, and cooking with a simple mechanism or to provide social services, various physical information necessary for work is required. In particular, the measurement of the contact force between the gripping object and the gripper is an essential function for sophisticated manipulation. As a solution to this problem in previous papers, the authors proposed a gripper tooltip that recognizes the twist of the elastic body attached between the gripper contact surface and the joint with an encoder and estimates the contact force. This paper deals with the improvement of the gripping force sensing tooltip developed in the previous paper. The design of enhanced contact force transfer mechanism and spring structure is suggested.
정병진(Byung-Jin Jung),고재섭(Jae-Sub Ko),최정식(Jung-Sik Choi),장미금(Mi-Guem Jang),강성준(Sung-Joon Kang),정동화(Dong-Hwa Chung) 전력전자학회 2009 전력전자학술대회 논문집 Vol.2009 No.1
The conventional fixed gain PI controlle is very sensitive to step change of command speed, parameter variation and load disturbances. The precise speed control of interior permanent magnet synchronous motor(IPMSM) drive becomes a complex issue due to nonlinear coupling among its winding currents and the rotor speed as well as the nonlinear electromagnetic developed torque. Therefore, there exists a need to tune the PI controller parameters on-line to ensure optimum drive performance over a wide range of operating conditions. This paper proposes high performance control of IPMSM drive using bybrid intelligent-PI(HIPI) controller, model reference adaptive fuzzy control(MFC). The proposed control algorithm is applied to IPMSM drive system controlled ALM-FNN, MFC. Also, this paper proposes the analysis results to verify the effectiveness of the HIPI, MFC controller.
정병진(Byung-Jin Jung),고재섭(Jae-Sub Ko),최정식(Jung-Sik Choi),김도연(Do-Yeon Kim),박기태(Ki-Tae Park),최정훈(Jung-Hoon Choi),정동화(Dong-Hwa Chung) 한국조명·전기설비학회 2007 한국조명·전기설비학회 학술대회논문집 Vol.2007 No.11월
The paper is proposed artificial neural network(ANN) sensorless control of induction motor drive with fuzzy learning control-fuzzy neural network(FLC-FNN) controller. The hybrid combinationof neural network and fuzzy control will produce a powerful representation flexibility and numerical processing capability. Also, this paper is proposed speed control of induction motor using FLC-FNN and estimation of speed using ANN controller. The back propagation neural network technique is used to provide a real time adaptive estimation of the motor speed. The error between the desired state variable and the actual one is back-propagated to adjust the rotor speed, so that the actual state variable will coincide with the desired one. The proposed control algorithm is applied to induction motor drive system controlled FLC-FNN and ANN controller, Also, this paper is proposed the analysis results to verify the effectiveness of the FLC-FNN and ANN controller.
정병진(Byung-Jin Jung),최정식(Jung-Sik Choi),고재섭(Jae-Sub Ko),김도연(Do-Yeon Kim),정동화(Dong-Hwa Jung) 전력전자학회 2008 전력전자학술대회 논문집 Vol.- No.-
??In this paper proposed the solar tracking system to use direct fuzzy control order to increase an output of the PV (Photovoltaic) array. The solar tracking system operated two DC motors driving by signal of photo sensor. The control of dual axes is not an easy task due to nonlinear dynamics and unavailability of the parameters. Recently, artificial intelligent control of the fuzzy control, neural-network and genetic algorithm etc. have been studied. The fuzzy control made a nonlinear dynamics to well perform and had a robust and highly efficient characteristic about a parameter variable as well as a nonlinear characteristic. Hence the fuzzy control was used to perform the tracking system after comparing with error values of setting-up, nonlinear altitude and azimuth. In this paper designed a DFC(Direct Fuzzy Control)controller for improving output of PV array and evaluated comparison with efficient of conventional PI controller. The data which were obtained by experiment were able to show a validity of the proposed controller.
정병진(Byung-Jin Jung),고재섭(Jae-Sub Ko),최정식(Jung-Sik Choi),김도연(Do-Yeon Kim),정동화(Dong-Hwa Jung) 한국조명·전기설비학회 2008 한국조명·전기설비학회 학술대회논문집 Vol.2008 No.10월
This paper is proposed the vector control of 3-phase induction motor drive system by photovoltaic generation. For performance of vector control using a current control voltage source inverter(CC-VSI). CC-VSI is controlled by torque and flux producing component of motor current, relating with current and and voltage value of photovoltaic arrays at maximum power point that varies follow different level of insolation. The MPPT using a DC-DC converter controlled the duty cycle to track maximum power from PV under different insolation conditions. The simulation results are shown that the characteristics and performance of drive system, which varies as each conditions of light by expresses in voltage(V<SUB>dq</SUB>), current(I<SUB>dq</SUB>), speed of motor and torque.
다양한 조류 환경 및 경계 조건에 따른 모노파일형 해상구조물의 동특성 변화 분석
정병진(Byung-Jin Jung),박종웅(Jong-Woong Park),이진학(Jin-Hak Yi),박진순(Jin-Soon Park) 한국해양공학회 2014 韓國海洋工學會誌 Vol.28 No.4
Because a change in the natural frequencies of a structure indicates structural health problems, monitoring the natural frequencies crucial. Long-term measurement for the Uldolmok tidal current power plant structure has shown that its natural frequencies fluctuate with a constant cycle twice a day. In this study, lab-scale tests to investigate the causes of these natural frequency fluctuations were carried out in a circulating water channel. Three independent variables in the tests that could affect the fluctuation of the natural frequencies were the water level, current velocity, and boundary condition between the specimen and the bottom of the circulating water channel. The experimental results were verified with numerical ones using ABAQUS. It was found that the fluctuation of the natural frequencies was governed by a decrease in stiffness due to the boundary condition much more than the effect of added mass. In addition, it was found that the natural frequency would decrease with an increase in the tidal current velocity because of its nonlinearity when the boundary condition was severely deteriorated due to damage.
정병진(Byung-Jin Jung),고재섭(Jae-Sub Ko),최정식(Jung-Sik Choi),정철호(Chul-Ho Jung),김도연(Do-Yeon Kim),전영선(Young-Sun Jun),정동화(Dong-Hwa Chung) 한국조명·전기설비학회 2008 한국조명·전기설비학회 학술대회논문집 Vol.2008 No.5월
Interior permanent magnet synchronous motor(IPMSM) has become a popular choice in electric vehicle applications, due to their excellent power to weight ratio. In order to maximize the efficiency in such applications, this paper proposes the FNN(Fuzzy Neural-Network)-PI controller. The controllable electrical loss which consists of the copper loss and the iron loss can be minimized by the error back propagation algorithm(EBPA). This paper considers the parameter variation about the motor operation. The operating characteristics controlled by efficiency optimization control are examined in detail.