• 한국위성정보통신학회논문지
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• 제12권1호
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• pp.18-21
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• 2017

In this paper we present IoT compliant HD Digital Signage Controller design using Raspberry Pi. Nowadays, the digital signage system have gained increasing popularity and rapidly growing communications medium that offers a wide range of exciting ways with customers, enhance brand awareness, increase sales and margin uplift by replacing the traditional static signage system. This paper presents a cost-effective IoT based HD Digital Signage Controller (DSC) using R-Pi computer that can use various kinds of displays in order to make the system as efficient and affordable as possible to provide advertisement or other relevant information to people in public areas. The system is designed in such way the information about surrounding related place is taken through sensors and directly uploaded to the internet, and thus can be accessed anytime and displayed on screens by using Raspberry Pi that serves as controller in the system. The design and implementation of the system developed by using python programming language and its hardware consists of sensors, Arduino, Raspberry Pi 3 model B board and the displays. The main targets of this study are build a cost effective Digital Signage system as well as broadcasting information at display contents in public areas and control those digital signs.

• International Journal of Precision Engineering and Manufacturing
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• 제3권4호
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• pp.78-86
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• 2002

In this paper, LMI (Linear Matrix Inequality) based on H$\_$$\infty$/ controller for a lire of sight (LOS) stabilization system. It shows that the proposed controller has more excellent stabilization performance than that of the conventional PI-Lead controller. An H$\_$$\infty$/ control has been also applied to the system for reducing modeling errors and the settling time of the system. The LMI-based H$\_$$\infty$/ controller design is more practical in view of reducing a run-time than Riccati-based H$\_$$\infty$/ controller. This H$\_$$\infty$/ controller is available not only to decrease the gain in PI-Lead control, but also to compensate the identifications for the various uncertain parameters. Therefore, this paper, shows that the proposed LMI-based H$\_$$\infty$/ controller had good disturbance attenuation and reference input tracking performance compared with the control performance of the conventional controller under any real disturbances.

• 제어로봇시스템학회논문지
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• 제14권12호
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• pp.1218-1225
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• 2008

This paper presents the design of a neural network based adaptive control for missile is presented. The application model is Exocet MM40, which is derived from missile DATCOM database. Acceleration of missile by tail Fin control cannot be controllable by DMI (Dynamic Model Inversion) directly because it is non-minimum phase system. So, the inner loop consists of DMI and NN (Neural Network) and the outer loop consists of PI controller. In order to satisfy the performances only with PI controller, it is necessary to do some additional process such as gain tuning and scheduling. In this paper, all flight area would be covered by just one PI gains without tuning and scheduling by applying mixture control technique of conventional controller and NN to the outer loop. Also, the simulation model is designed by considering non-minimum phase system and compared the performances to distinguish the validity of control law with conventional PI controller.

• 전자공학회논문지SC
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• 제47권6호
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• pp.1-5
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• 2010

본 논문에서는 PI 제어기를 설계해야 하는 경우인 임계 주파수 부근에서 이득 감소가 적은 시스템을 구별할 수 있는 알고리즘을 제안하였다. 임계 주파수 부근에서 이득감소가 적은 시스템을 구별하기 위해 시간 지연 요소를 이용하여 이득 감소율을 구하는 방법을 제안하였다. 또한 크기 마진과 위상 마진이 주어진 경우 PI 제어기를 설계하는 방법을 제안하였다. 제안된 알고리즘은 시간 지연요소와 포화함수를 이용하여 PI 제어가 가능한 한점의 좌표값을 계산하는 방법을 사용하였다. 제안된 방법은 시뮬레이션을 통해 타당성을 검증하였다.

• 조명전기설비학회논문지
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• 제20권7호
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• pp.65-73
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• 2006

본 논문은 신경회로망을 이용한 IPMSM 드라이브의 속도제어를 제시한다. 일반적으로 수치 제어된 기계에서 PI 제어기는 고정된 이득값으로 처리한다. PI 제어기의 고정된 이득값은 어떤 동작조건에서는 양호하게 수행된다. 고정된 이득값을 가진 PI 제어기의 강인성 향상을 위하여 신경회로망을 기초로 하는 새로운 제어 방법인 NNPI 제어기를 제시한다. NNPI 제어기는 속도, 부하토크 및 관성과 같은 파리미터 변동에 대하여 오버슈트를 감소시키고 상승 시간 및 정상상태에 빠르게 도달한다. 또한 본 논문에서는 신경회로망을 사용하여 IPMSM의 속도를 제어하고 ANN 제어기를 사용하여 속도를 추정한다. 신경회로망의 역전파 알고리즘 방법은 전동기의 속도를 실시간으로 추정하는데 사용된다. IPMSM의 속도제어기 결과는 제시된 이득값 조절의 타당성을 입증한다. 그리고 NNPI 제어기는 광범위한 동작상태와 부하 외란에 대하여 고정된 이득값보다 우수한 성능을 가진다.

• Journal of Power Electronics
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• 제15권1호
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• pp.177-189
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• 2015

The output of the controller is said to exceed the input limits of the plant being controlled when a control system operates in a non-linear region. This process is called the windup phenomenon. The windup phenomenon is not preferable in the control system because it leads to performance degradation, such as overshoot and system instability. Many anti-windup strategies involve switching, where the integral component differently operates between the linear and the non-linear states. The range of state for the non-overshoot performance is better illustrated by the boundary integral error plane than the proportional-integral (PI) plane in windup inspection. This study proposes a PI controller with a separate closed-loop integral controller and reference value set with respect to the input command and external torque. The PI controller is compared with existing conventional proportional integral, conditional integration, tracking back calculation, and integral state prediction schemes by using ScicosLab simulations. The controller is also experimentally verified on a direct current motor under no-load and loading conditions. The proposed controller shows a promising potential with its ability to eliminate overshoot with short settling time using the decoupling mode in both conditions.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2001년도 하계학술대회 논문집 B
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• pp.825-827
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• 2001

In this paper, we made mathematical modeling of BLDC motor system and design of PI controller. Using Apache web-server and PHP web-programming, we embodied virtual laboratory for PI controller design of BLDC Motor system by using proportional constants$(K_P)$ and constants of integration$(K_I)$.

• International Journal of Air-Conditioning and Refrigeration
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• 제14권4호
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• pp.138-146
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• 2006

Recently, a technology based on the proportional integral (PI) control have grown rapidly owing to the needs for the robust capacity of the controllers from industrial building sectors. However, PI controller generally requires tuning of gains for optimal control when the outside weather condition changes. The present study presents the possibility of reinforcement learning (RL) control algorithm with PI controller adapted in the HVAC system. The optimal design criteria of RL controller was proposed in the environment chamber experiment and a theoretical analysis was also conducted using TRNSYS program.

• 조명전기설비학회논문지
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• 제24권4호
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• pp.33-42
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• 2010

벡터제어를 적용한 유도전동기 드라이브는 고성능 제어를 위하여 산업 적용분야에 광범위하게 사용되고 있다. 그러나 유도전동기의 모델은 비선형이고 복잡하기 때문에 포화, 온도변화, 외란 및 파라미터 변동등에 의해 성능 및 신뢰성이 저하된다. 이러한 가변속 드라이브를 제어하기 위하여 종래의 PI와 같은 제어기들이 일반적으로 사용되어졌다. 이러한 제어기들은 이상적인 벡터제어 상태에서도 광범위한 동작영역에서 양호한 성능을 나타내는데 한계를 가지고 있다. 본 논문은 퍼지제어, 신경회로망, 적응 퍼지제어로 구성된 FNN(Fuzzy-Neural Network)-PI 제어기 기반 자기동조 PI 제어기와 ANN을 이용한 속도추정을 제시한다. FNN-PI, AFC, ANN 제어기를 이용한 제어 알고리즘은 유도전동기 드라이브 시스템에 적용하여 그 결과를 분석하고 제어기의 효용성을 입증한다.

• 전기학회논문지
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• 제66권11호
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• pp.1663-1668
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• 2017

A BLDC motor with higher number of phases has several advantages, compared to the conventional three-phase BLDC motors. It can reduce the commutation torque ripple and the iron loss without increasing the voltage per phase and increase the reliability and power density. Higher number of phases increase the torque-per-ampere ratio for the same machine volume and output power by widening the electrical conduction period. In this paper, the proposed seven-phase BLDC motor drive system is made into several functional modular blocks, so that it can be easily extended to other ac motor applications: back-EMF block, hysteresis current control block, pwm inverter block, phase current block, and speed/torque control block. Also in a system of BLDC motor drive, the PI controller has been widely used in the speed controller because of the simple implementation. To obtain a good speed response in a general drive system using the PI controller, the high bandwidth of a controller is established. therefore, in this paper, a Fuzzy controller is applied to the 7-phase BLDC motor drive system in order to improve the speed control performance. The Fuzzy controller is compared with a conventional PI controller through the experiment with respect to speed dynamic responses. These experimental results show that the Fuzzy controller of the 7-phase BLDC motor drive system is superior over the conventional PI controller. The algorithm using the Fuzzy controller can improve a comfortable ride in the field of high performance 7-phase BLDC motor drive applications.