• Proceedings of the KIEE Conference
• /
• 2009.07a
• /
• pp.1960_1961
• /
• 2009

본 논문에서는 PID, PWM, HSC, 컴퓨터와의 호스트 통신, 외부 DAC 인터페이스를 FPGA만을 이용하여 하나의 Chip에 구현하고 DC 서보 모터의 속도를 설정한 제어 상태로 안정화시킬 수 있는 시스템을 구현하고자 한다. 컴퓨터에서 설정한 설정치(SV)와 P, I, D의 이득 값을 호스트 통신으로 데이터 블록은 해당 블록으로 전달하며 DC 서보 모터의 엔코더에서 나오는 $90^{\circ}$ 위상차가 있는 2채널의 펄스는 HSC 블록을 거쳐 프로세스치(PV)를 생성 고 이로부터 얻어진 SV와 PV의 편차(E)를 산출한 후 PID 제어 동작을 수행한다. 그 결과인 조작치(MV)를 PWM 블록에 제공하여 실질적으로 DC 서보 모터를 구동하는 H-bridge 회로를 구동한다. 또한 FPGA 내부의 SV, PV, E, MV를 오실로스코프로 계측하기 위해 DAC 인터페이스 블록을 첨가 하여 외부 디지털 아날로그 변환기(DAC)를 제어 하였다.

• Journal of Institute of Control, Robotics and Systems
• /
• v.13 no.4
• /
• pp.296-303
• /
• 2007

This paper proposes a new width control system composed of an ANWC(Automatic Neural network based Width Control) and a fuzzy-PID controller in hot strip finishing mills which aims at obtaining the desirable width. The ANWC is designed using a neural network based width prediction model to minimize a width variation between the measured width and its target value. Input variables for the neural network model are chosen by using the hypothesis testing. The fuzzy-PlD control system is also designed to obtain the fast looper response and the high width control precision in the finishing mill. It is shown through the field test of the Pohang no. 1 hot strip mill of POSCO that the performance of the width margin is considerably improved by the proposed control schemes.

• Proceedings of the KIEE Conference
• /
• 1999.07b
• /
• pp.504-506
• /
• 1999

In this paper, we propose a method which control parametric uncertainty systems using PID controller by fuzzy auto tuning. We get the error and the error change rate of plant output correspond to the initial value of parameter using the Ziegler-Nickols tuning and determine the new proportional gain$(K_p)$ and the integral time $(T_i)$ from fuzzy tuner by the error and error change rate of plant output as a membership function of fuzzy theory. The Fuzzy Auto-tuning algorithm for PID controller operate to adapt variable parameter of plant in parametric uncertainty systems. It is shown this method considerably improve the transient response at computer simulation.

• 제어로봇시스템학회:학술대회논문집
• /
• 2001.10a
• /
• pp.27.1-27
• /
• 2001

Reheating furnace is a facility of heating up the billet to desired high temperature in the hot charge rolling process and it consists of 3 zones. Temperature control of reheating furnace is essential for successful rolling performance and high productivity. Mostly, temperature control is carried out using PID controller However, the PID control is not effective due to the nonlinearity of the reheating furnace(i.e, presence of the interference of neighboring zones and slow response of temperature etc.). In this paper, feedback linearization method is applied to obtain a linear model of the reheating furnace. Then, controller is designed using simple predictive control method. The effectiveness of this strategy is shown through simulations.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2003.06a
• /
• pp.988-991
• /
• 2003

In this paper, we try to develop the controller which uses the block diagrams of SIMTool and internal functions CEMTool for planning the global driving controller for high efficiency AGV. We acquire the control efficiency by controlling the motor used each part of AGV driving controller. The block diagram structures provided with SIMTool is easily designed by the controller, and the monitoring and analysis of the results is researched by simulation. We expect to control AGV. robot and various plant using Ziegler-Nichols auto-tuning method and external I/O board

• Smart Structures and Systems
• /
• v.14 no.4
• /
• pp.643-658
• /
• 2014

This paper presents the design, modelling and, simulation and experimental results of a shape memory alloy (SMA) actuator based critical motion control application. Dynamic performance of SMA and its ability in replacing servo motor is studied for which the famous open loop unstable balancing ball and beam system direct driven by antagonistic SMA is designed and developed. Simulation uses the mathematical model of ball and beam structure derived from the first principles and model estimated for the SMA actuator by system identification. A PID based cascade control system consisting of two loops is designed and control of ball trajectory for various target positions with settling time as control parameter is verified experimentally. The results demonstrate the performance of SMA for a complicated i.e., under actuated, highly nonlinear unstable system, and thereby it's dynamic behaviour. Control strategies bring out the effectiveness of the actuator and its possible application to much more complex applications such as in aerospace control and robotics.

• Proceedings of the Korean Society of Precision Engineering Conference
• /
• 2002.10a
• /
• pp.675-678
• /
• 2002

A controller was designed generally using C or assembly languages on high-speed design controller. But, in this paper, DC servo controller is designed using the cord of the block-diagram of SIMTool. By the method, we can design, realized and analyzed a control system quickly in real-time. And we expect that the various plants of a robot vehicles are controled through the outside I/O board changing the structure of the block-diagram of SIMTool into AUTOTool. In addition, our developed system helps the most suitable automatic controller design and tester with hight-speed.

• Proceedings of the KIEE Conference
• /
• 1997.07c
• /
• pp.1141-1143
• /
• 1997

This paper presents a design technique of the FPID controller for the load frequency control of power system. parameters of FPID controller are self-tuned by the fuzzy inference algorithm. The computer simulation results show that the proposed controller are more excellent control characteristics than conventional in transient-state and steady-state response.

• Journal of Institute of Control, Robotics and Systems
• /
• v.16 no.1
• /
• pp.77-82
• /
• 2010

An analytical method for robust design of the multi-loop proportional-integral (PI) controller is proposed for various types of multi-delay processes. On the basis of the direct synthesis and generalized IMC-PID approach, the analytical tuning rules of the multi-loop PI controller are firstly derived for achieving the desired closed-loop response, and the structured singular value synthesis is then utilized for the tradeoffs between the robust stability and performance by adjusting only one design parameter (i.e., the closed-loop time constant). To verify the superiority of the proposed method, the simulation studies have been conducted on a wide variety of multivariable processes. The multi-loop PI controller designed by the proposed method shows a fast, well-balanced and robust response with the minimum integral absolute error (IAE) in compared with other renowned methods.

• Proceedings of the KIEE Conference
• /
• 2000.07b
• /
• pp.1146-1150
• /
• 2000

We propose a new method to deal with the optimized auto-tuning for the PID controller which is used to the process-control in various fields. First of all, in this method, initial values are determined by the Switched Reluctance Motor of system and Ziegler-Nichols method. After deciding binary strings of parents generation using by the fitness values of genetic algorithms, we perform selection, crossover and mutation to generate the descendant generation. The advantage of this method is better than the neural network and multiple regression model method in characteristic of output, and has extent of applying without limit of initial parameters.