• Proceedings of the Korea Information Processing Society Conference
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• 2013.11a
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• pp.1525-1527
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• 2013

본 논문에서는 저시력자의 개선된 독서 환경을 제공하는 시각보조기기를 위한 실시간 영상처리 SoC(System on Chip) 하드웨어 구조 설계에 대해서 기술한다. 기존의 시각보조기기는 화면 영상이 실제 움직임보다 늦게 출력되는 잔상 현상이 발생하며, 색 변환 기능도 제한적이다. 따라서 본 논문에서 제안하는 실시간 영상처리 SoC 하드웨어 구조는 데이터 연산을 최소화함으로써 잔상 현상이 감소되며, 저시력자를 위한 다양한 색상 모드를 지원한다. 제안하는 영상처리 SoC 하드웨어 구조는 Core-A 모듈, Memory Controller 모듈, AMBA AHB bus 모듈, ISP(Image Signal Processing) 모듈, TFT-LCD Controller 모듈, VGA Controller 모듈, CIS Controller 모듈, UART 모듈, Block Memory 모듈로 구성된다. 시각보조기기를 위한 실시간 영상처리 SoC 하드웨어 구조는 Virtex4 XC4VLX80 FPGA 디바이스를 이용하여 검증하였으며, TSMC 180nm 셀 라이브러리로 합성한 결과 동작주파수는 54MHz, 게이트 수 197k이다.

• Proceedings of the Korean Institute of Intelligent Systems Conference
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• 1993.06a
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• pp.1129-1132
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• 1993

This paper presents the idea of a neural fuzzy controller with application to the control of an industrial machining process. The structure of such a controller, which links the idea of a fuzzy controller and a neural network, is suggested. Results of comparative simulations indicate that the proposed neural fuzzy controller performs equally well as a fuzzy logic controller; moreover, it is more flexible and allows faster data processing.

• Journal of the Institute of Convergence Signal Processing
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• v.14 no.1
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• pp.51-56
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• 2013

PID control systems are significantly utilized in industrial fields because of its multiple advantages. Many researches about more effective PID controllers to enhance control system performances have been addressed so far. This paper proposes a novel PI-PD control system with a pre-compensator which is configured with a pre-compensator and PD controller in PIcontrol system. The normal method is applied to the proposed control system for obtaining a simple first-order controller from cancelation of poles and zeros. We design a pre-compensator and PD controller by using parameters of PI controller and the transfer function of a plant. Computer simulation is carried out to demonstrate effectiveness of the proposed control system.

• Journal of the Institute of Convergence Signal Processing
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• v.3 no.4
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• pp.42-48
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• 2002

The case that cannot show the satisfactory control results with a modeling error and a shortage of related knowledge about a plant is if a fuzzy controller designed based on the plant model or the experience applies to an actual plant. We must adjust the scale factor which is a controller again in order to improve control performance in case of this and needs a lot of time and costs because this regulation process is carried out with a trial and error way We proposes the fuzzy controller that an automatic control adjust scale factors according to fuzzy logic and normalizer in this paper We confirmed that an automatic adjusted fuzzy controller displayed good performance than the fuzzy controller that scale factors was fixed through simulation. We implemented the controller using the DSP processor and applied in a hydraulic servo system. And then we observed an experimental results.

• Proceedings of the Korea Institute of Convergence Signal Processing
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• 2000.12a
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• pp.209-212
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• 2000

This paper describes the design and implementation of a hard- wired AGV controller using CPLD(Complex Programmable Logic Device). The proposed controller manages a guidance equipment, motor and I/O sequence controller for a self-control traveling. Compared with a conventional $\mu$-processor, the CPLD controller using a hard-wired control method can reduce a difficult programming process. Also, the total costs of production are reduced, such as development time, product's size and difficulty because memory, combinational logic and sequential logics are implemented by CPLD. The Controller designed using behavioral description method with VHDL and was synthesized by MAX＋Plus II of the ALTERA co. We implemented controller using EPF10K10LC84-4 device.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2015.10a
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• pp.503-506
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• 2015

In accordance with IoT(Internet of Things) commercialization, the need to design SoC-based hardware platform with wireless communication is increasing. This paper therefor proposes an SoC platform architecture with Smart Frame System inter-communicating between devices. Wireless communication functions and high-performance real-time image processing hardware structure was applied to existing digital photo frame. We developed a smart phone application to control the smart frame through Bluetooth communication. The SoC platform hardware consists of CIS controller, Memory controller, ISP(Image Signal Processing) module for image scaling, Bluetooth Interface for inter-communicating between devices, VGA/TFT-LCD controller for displaying video. The Smart Frame System to support the IoT services was implemented and verified using HBE-SoC-IPD test board equipped with Virtex4 XC4VLX80 FPGA. The operating frequency is 54MHz.

• 제어로봇시스템학회:학술대회논문집
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• 1991.10a
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• pp.292-298
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• 1991

A new 6-axis robot controller with a high-speed 32-bit floating-point DSP TMS32OC30 has been developed in Samsung Electronics. The controller composed of Intel 80386 microprocessor for the main controller, and TKS32OC30 DSP chip for joint position controller. The characteristics of the controller are high sampling rate of 200us and fast reponsibility. The main controller supports MS-DOS, kinematics, trajectory planning, and sensor fusion functions which are vision, PLC, and MAP. The one high speed DSP chip is used for controlling 6 axes of a robot in 200us simultaneously. The control law applied is PID controller including a velocity feedforvard in joint position controller. The performance tests, such as command following, CP, were conducted for the controller integrated with a 6 axes robot developed in Samsung Electronics. The results showed a good performance. This controller can also perform the system control with other controllers, the communication with high priority controllers, and visual information processing.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.30B no.7
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• pp.31-41
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• 1993

In this paper, a fuzzy adaptive controller is proposed for the process with large delay time and unmodelled dynamics. The fuzzy adaptive controller consists of self tuning controller and fuzzy tuning part. The self tuning controller is designed with the continuous time GMV (generalized minimum variance) using emulator and weighted least square method. It is realized by the hybrid method. The controller has robust characteristics by adapting the inference rule in design parameters. The inference processing is tuned according to the operating point of the process having the nonlinear characteristics considering the practical application. We review the characteristics of the fuzzy adaptive controller through the simulation. The controller is applied to practical electric furnace. As a result, the fuzzy adaptive controller shows the better characteristics than the simple numeric self tuning controller and the PI controller.

• 제어로봇시스템학회:학술대회논문집
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• 1995.10a
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• pp.79-82
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• 1995

The problem of temperature control for rapid thermal processing (RTP) in semiconductor manufacturing is discussed in this paper. Among sub=micron technologies for VLSI devices, reducing the junction depth of doped region is of great importance. This paper investigates existing methods for manufacturing wafers, focusing on the RPT which is considered to be good for formation of shallow junctions and performs the wafer fabrication operation in a single chamber of annealing, oxidation, chemical vapor deposition, etc., within a few minutes. In RTP for semiconductor manufacturing, accurate and uniform control of the wafer temperature is essential. In this paper, a robustr controller is designed using a recently developed optimization technique. The controller designed is then tested via computer simulation and compared with the other results.

• Journal of the Institute of Convergence Signal Processing
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• v.6 no.2
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• pp.89-94
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• 2005

In this paper, we propose a fuzzy PID controller of new method. There are two problems in absolute digital PID controller. First, much calculation time need for obtain the sum of data at each period. Second, this is problem need much memory because to storage every data at the before period. We use the speed type PID digital controller to improvement such problems. In the propose controller doesn't use without adjustment the crisp output error and we doesn't use nile tables in the fuzzy inference process at the forward stage fuzzifier. We inference output member ship function by using the relation and range of two variable of PID gain parameters. We can obtained desired results through the simulation and a experiment of the hydraulic servo motor control system.