• Journal of Institute of Control, Robotics and Systems
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• v.6 no.1
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• pp.42-49
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• 2000

This paper presents the application of a FARMA controller to stabilization of nonlinear Two-Generator Five-Bus power Systems. The control rules and the membership functions of the FARMA controller are generated automatically without using any plant model high complexity and severe nonlinearity of power systems are introduced and two-Machine Five -Bus Power system stabilization problem is formulated. The simulation results demonstrate the effectiveness and application possibility of the FARMA controller to the control problem of high order and nonlinear plants.

• Journal of the Korean Institute of Navigation
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• v.5 no.2
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• pp.59-88
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• 1981

Many studies have been done in the field of fuzzy logic theory, but it's application is not so much, and particularly, there isn't any application to the ship's steering system, until now. This paper is to survey the effect of application of fuzzy logic control to the ship's steering system. The controller is made up of a set of Linguistic Control Rules which are conditional linguistic statements connecting the inputs and the output, and take the inputs derived from the errors, that is, deviation angle and it's angular velocity. These two variables together give information about the state of the steering system, and the Linguistic Control Rules are implemented on the digital computer. The characteristics of this system were investigated through the computer simulation and satisfactory results compared with that of the conventional PD controller were obtained.

• 제어로봇시스템학회:학술대회논문집
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• 1988.10b
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• pp.896-900
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• 1988

Tree search can be applied to a control problem if the system is a discrete-time one and if the control input takes only discrete values. This paper considers the application of heuristic tree search to a simple control problem. The results of simulation studies show the good possibility of this approach to a control problem.

• Nuclear Engineering and Technology
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• v.55 no.10
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• pp.3515-3524
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• 2023

A reinforcement learning framework is proposed for the control problem of outlet steam pressure of the once-through steam generator(OTSG) in this paper. The double-layer controller using Proximal Policy Optimization(PPO) algorithm is applied in the control structure of the OTSG. The PPO algorithm can train the neural networks continuously according to the process of interaction with the environment and then the trained controller can realize better control for the OTSG. Meanwhile, reinforcement learning has the characteristic of difficult application in real-world objects, this paper proposes an innovative pretraining method to solve this problem. The difficulty in the application of reinforcement learning lies in training. The optimal strategy of each step is summed up through trial and error, and the training cost is very high. In this paper, the LSTM model is adopted as the training environment for pretraining, which saves training time and improves efficiency. The experimental results show that this method can realize the self-adjustment of control parameters under various working conditions, and the control effect has the advantages of small overshoot, fast stabilization speed, and strong adaptive ability.

• Journal of the Korean Institute of Telematics and Electronics B
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• v.30B no.1
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• pp.79-89
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• 1993

This paper deals with a computer aided control of an adjustment process for the complete electronic devices by means of an application of artificial neural network and an implementation of neuro-controller for intelligent control. Multi-layer neural network model is employed as artificial neural network with the learning method of the error back propagation. Information initially available from real plant under control are the initial values of plant output, and the augmented plant input and its corresponding plant output at that time. For the intelligent control of adjustment process utilizing artificial neural network, the neural network emulator (NNE) and the neural network controller(NNC) are developed. The initial weights of each neural network are determined through off line learning for the given product and it is also employed to cope with environments of the another product by on line learning. Computer simulation, as well as the application to the real situation of proposed intelligent control system is investigated.

• Proceedings of the Korean Institute of Information and Commucation Sciences Conference
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• 2007.06a
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• pp.76-79
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• 2007

RFID is issued as a core technology for Ubiquitous environment recently. Especially, Mobile RFID which is converged with RFID and wireless internet, provides new services to users, increased added-value to service providers. For commercial service of Mobile RFID, it needs an accounting service. The Diameter Base Protocol, mostly used for authentication, authorization, and accounting service, supports only deferred accounting service. For more variable accounting policy, Diameter Credit-Control Application which is capable of prepayment accounting, also should be considered. In this paper, a new accounting model with Diameter Credit-Control Application for Mobile RFID service is proposed.

• Journal of the Korean Society for Aviation and Aeronautics
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• v.20 no.1
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• pp.86-93
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• 2012

Fuzzy control has emerged as a practical alternative to classical control schemes in controlling certain time-varying, nonlinear, and ill-defined processes. As the current of this kind of a research paradigm, we concluded that there is a need for application study of a fuzzy control theory to the flight control systems of small aircraft being to be developed at KARI. And then, this preliminary study was carried out to the automatic landing system of the canard aircraft (Firefly) for the purpose of the preparation of extension of research contents and various application areas, in which FMRLC was chosen as the fuzzy controller of the system.

• Proceedings of the Korean Institute of Building Construction Conference
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• 2017.05a
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• pp.260-261
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• 2017

The objective of this study is to propose the basic design plan of system by comparing and analyzing application environment of lift and elevator group control system, as preliminary study for the application of group control system to lifts for high-rise construction. The basic design plan is suggested in terms of group control algorithm, hall call system type, operation information recording device, information communication method, and operation method. The results of this study can be used as basic data for software and hardware design for application of group control technology of lifts for super tall building construction and ultimately contribute to improve the operation efficiency of lift for high-rise construction.

• 제어로봇시스템학회:학술대회논문집
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• 1986.10a
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• pp.248-250
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• 1986

This paper explain application of expert system techniques from the latest theories of artificial intelligence to industrial process control. This controller continuously monitors a loop's response to disturbances and adapts the tuning parameters (P.I.D) to provide the best response to load upset or set-point change.

• Transactions of the Korean Society of Automotive Engineers
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• v.11 no.1
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• pp.160-165
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• 2003

The design and implementation of an engine control system has become an important area in developing a new car, but the implementation of an engine control system is becoming a tedious and time-consuming work as the level of complexity increases. In order to shorten the development cycle of the control system, rapid control prototyping (RCP) technique deserves developers' attention. A new RCP platform has been developed for an automotive engine control application. This prototyping system strictly adheres to the layered architecture of the final production ECU, and separates the automatically generated part of software, or the application area, from the hand coded area, which generally carefully designed and tested because of the hardware dependency and the efficiency of microcontroller. The $Matlab{\circledR}$ tool-chain of Mathworks Inc. has been selected as a base environment in this study. A newly developed Engine Control Toolbox of Real-Time $Workshop{\circledR}$ converts a graphically represented control algorithm into optimized application codes and links them with other parts of the software to generate executable code for the target processor.