신경 회로망을 이용한 유도 전동기의 속도 및 위치 제어에 관한 연구

양오,김형구 청주대학교 산업과학연구소 1998 産業科學硏究 Vol.16 No.-

An induction motor has been regarded as a substitute lot a DC servuomotor since it has variety of advantages such as a low price, the compact size, easy maintenance, and the simple mechanical structure. The speed and position control of the induction motor using Feedforward Neural Networks(FNNs) was studied in this paper. A teaching signal was obtained simply from sliding surface without a particular teaching signal. And the FNNs loam through a back propagation algorithm so as to reduce the error between the real and the reference position value of the motor as times go. The structure of a proposed controller was designed simply, for the fast calculating response which is certainly necessary for induction motor position control. And to show the superiority of this controller, 3-phase vector control induction motor whose power capacity is 22kw was modeied, and It was simulated. Through the computer simulation, it was verified that the proposed position and speed control of an induction motor using Feedforward Neural Networks WAS robust to the load variation.

AJAX를 이용한 소방엔진펌프의 모니터링과제어 시스템 구현

양오,이헌국 한국반도체디스플레이기술학회 2016 반도체디스플레이기술학회지 Vol.15 No.3

In this paper, the fire engine pump is controlled and monitored by the AJAX (Asynchronous Javascript and Xml) in the web server. The embedded system with built-in system having a processor and a memory of high performance occurs many problems in transmitting the large amount of data in real time through the web server. The AJAX is different from HTML (Hyper Text Makeup Language) with java script technology and can make RIA (Rich Internet Application). It process the necessary data by using asynchronous and it take advantage of usefulness, accessibility, a fast response time. Using AJAX can build up web server with real time and monitoring that fire engine pump status, check processing pump memory in the event of fire, also remotely monitors can do. The web server system can control the fire engine pump as like the black box. The experimental results show the effectiveness and commercialize possibility.

계통연계형 단상 태양광 인버터의 최대전력추적에 대한 연구

양오 청주대학교 2014 産業科學硏究 Vol.31 No.2

This paper presents the MPT(maximum power tracking) algorithm for the single phase grid-connected photovoltaic power systems to maximize the photovoltaic array output power point. The Perturb and observe which is widely used algorithm is simple to implement, but this algorithm has the disadvantage of local maximum power point. In order to overcome this drawback, the proposed new MPT algorithm has been implemented using the up and down counters to find the maximum power point for an array of solar cells. The efficiency of maximum power point tracking and the total harmonic distortion of inverter output current showed the very small maximum power fluctuation and the excellent MPT efficiency of 99.96%.

태양광 패널 최적기의 유선 및 무선 통신 시스템 설계에 관한 연구

양오 한국반도체디스플레이기술학회 2019 반도체디스플레이기술학회지 Vol.18 No.2

In this paper, we have designed a solar photovoltaic system to attach solar photovoltaic modules to each module and develop the best efficiency in each module. The efficiency of the designed solar panel optimizer was more than 99.27% and MPPT efficiency of 99.66%. In addition, the monitoring of power generation and abnormal operation phenomenon in each optimum period and tracking for failure location of specific photovoltaic module have improved the utilization rate of photovoltaic power generation. Wired and wireless communication methods has been proposed to monitor the power generation and operation status of the solar panel optimizer. For this purpose, the RS485 communication was used for wire communication and Zigbee communication was used for wireless communication to monitor the status of each module in real time. It is shown that communication redundancy can be achieved through the proposed method, and the possibility of commercialization is suggested.

시퀀스 로직 제어용 비트 프로세서 설계에 관한 연구

양오 청주대학교 산업과학연구소 1999 産業科學硏究 Vol.17 No.1

This paper presents the design of bit processor for a sequence logic control using FPGA. The sequence logic controller is widely used for automating a variety of industrial plants. This bit processor consists of a program memory interface block, a data memory interface block, an I/O block, an instruction fetch and decoder block, a register and ALU block, a program counter block respectively. The program memory was separated from the data memory in order to high speed execution at 40 MHz clock. Therefore it was possible that a sequence instruction could be operated at the same time during the instruction fetch cycle. In order to reduce the instruction decoding time and the interface time of the data memory interface, instruction code size was implemented by 16 bits or 32 bits. This FPGA was synthesized by pASIC 2 SpDE and Synplify-Lite synthesis tool of Quick Logic company. The final simulation for worst cases was successfully performed under a Verilog HDL simulation environment. And the FPGA programmed for an 84 pin PLCC package was applied to sequence control system with inputs and outputs of 256 points. The designed processor for the sequence logic control was compared with the control system using the DSP (TMS320C32-40MHz), and the former showed better performance than the later.

시각동기를 위한 IRIGB 디코더 시스템 설계

양오 청주대학교 산업과학연구소 2020 産業科學硏究 Vol.37 No.2

In this paper, the IRIGB decoder system was designed for precise time synchronization. The proposed time synchronization system consists of a digital signal IRIG-B000 and an analog signal IRIG-B120 respectively. The zero crossing and comparator were used to obtain the analog time information. The IRIGB decoder system for time synchronization was designed using Altera's FPGA which is EPM570T100 and a 32bit high-performance MCU for coding to obtain precise time information. The proposed algorithms were verified through simulations and experiments respectively. Compared with the conventional time synchronization system, the proposed time synchronization system was simple in structure and had the precise 1PPS with ± 50ns for error accuracy.

자기진단 기능을 이용한 비동기용 불휘발성 메모리 모듈의 설계

양오,신우현,연준상 한국반도체디스플레이기술학회 2022 반도체디스플레이기술학회지 Vol.21 No.1

In this paper, an asynchronous nonvolatile memory module using a self-diagnosis function was designed. For the system to work, a lot of data must be input/output, and memory that can be stored is required. The volatile memory is fast, but data is erased without power, and the nonvolatile memory is slow, but data can be stored semi-permanently without power. The non-volatile static random-access memory is designed to solve these memory problems. However, the non-volatile static random-access memory is weak external noise or electrical shock, data can be some error. To solve these data errors, self-diagnosis algorithms were applied to non-volatile static random-access memory using error correction code, cyclic redundancy check 32 and data check sum to increase the reliability and accuracy of data retention. In addition, the possibility of application to an asynchronous non-volatile storage system requiring reliability was suggested.

PD 제어기와 신경회로망을 이용한 유도전동기의 속도제어

양오,Yang, Oh 대한전자공학회 2002 電子工學會論文誌-SC (System and control) Vol.39 No.2

본 논문에서는 PD 제어기와 신경회로망을 이용하여 3상 유도전동기의 속도제어 시스템을 구현하고자 한다. PD 제어기는 초기의 제어를 담당하며 신경회로망의 초기 학습을 담당한다. 또한, 신경회로망은 비선형 매핑능력과 학습능력이 탁월하기 때문에 제어기로 많이 사용되며 특히 전향경로 신경망은 구조가 매우 간단하기 때문에 본 논문에서는 이를 이용하여 유도전동기의 속도제어 시스템에 구현하였다. 신경회로망의 입력으로는 모터의 기준속도, 엔코더를 이용하여 측정한 모터의 실제 속도와 제어입력 전류를 이용하였고, 온라인 상태로 학습되도록 하였다. 본 논문에서 제안된 알고리즘의 타당성을 보이기 위해 기존에 널리 사용되었던 PI 제어기와 비교평가를 하였으며 시뮬레이션과 실험결과로부터 초기운전 상태에서는 PD 제어기가 주로 제어를 담당하지만 시간이 지남에 따라 신경회로망이 학습되어 신경회로망이 주 제어기가 됨을 확인하였다. 아울러, 제안된 하이브리드 제어기가 PI 제어기보다 우수하고 특히 부하변동과 같은 외란에 강인함을 알 수 있었으며, 정상상태 오차가 현저히 감소하여 정밀한 속도제어가 가능함을 확인하였다. This paper presents the implementation of the speed control system for 3 phase induction motor using PD controller and neural networks. The PD controller is used to control the motor and to train neural networks at the first time. And neural networks are widely used as controllers because of a nonlinear mapping capability, we used feedforward neural networks(FNN) in order to simply design the speed control system of the 3 phase induction motor. Neural networks are tuned online using the speed reference, actual speed measured from an encoder and control input current to motor. PD controller and neural networks are applied to the speed control system for 3 phase induction motor, are compared with PI controller through computer simulation and experiment respectively. The results are illustrated that the output of the PD controller is decreased and feedforward neural networks act main controller, and the proposed hybrid controllers show better performance than the PI controller in abrupt load variation and the precise control is possible because the steady state error can be minimized by training neural networks.

유도전동기의 속도제어를 위한 VLSI 설계에 관한 연구

양오,유영상 청주대학교 산업과학연구소 1998 産業科學硏究 Vol.16 No.-

In this paper, We will introduce a VLSI design for the speed control of an Induction Motor that is widely used because of development of IGBT(semiconductor for high power control device), and DSP(Digital Signal Processor) nowadays. There are two ways in VLSI design, the one is that use circuit diagram, the other is that use VHDL which describes hardware. We will use the latter. The VLSI designed by us consists of a PWM wave generator which compare triangle wave with sine wave to generate PWM wave, a wait signal generator to interface I/O having slow speed to high speed DSP, a M/T speed measuring device to measure of motor speed and position, a watch dog timer to prevent system from being down, I/0 ports to control extermal input and output, LEDs, etc. This VLSI was designed and developed by using FPGA of QuickLoglc Co, which can be operated at 40MHz clock. Finally, the performance of designed VLSI will be proved by experiment it on a actual three phase induction motor drive system.

태양광 접속반의 자동 화재 예방 및 진압 시스템 설계

양오,이강원 한국반도체디스플레이기술학회 2022 반도체디스플레이기술학회지 Vol.21 No.3

A solar power generation system uses a solar module that collects solar radiation energy, a connecting board that collects DC power generated from the solar module, and a diode to prevent reverse current from flowing from an inverter to the solar module. The existing photovoltaic connection module consists of only fuses and diodes for reverse polarity and overcurrent blocking, and does not have fire diagnosis, prevention, and suppression functions in the event of a fire. To solve this problem, this paper presents a method to monitor the internal state of the photovoltaic connection module using several sensors and to prevent and extinguish a fire using solenoid valves and fire extinguishing agents when a fire is detected. Through the experiment, it was confirmed that the proposed method normally suppresses the fire in event of a fire.