비선형 시스템을 위한 적응슬라이딩모드제어기의 설계

이진국 忠州大學校 2007 한국교통대학교 논문집 Vol.42 No.-

In this paper, we proposed controller design method which is more proper to control nonlinear system, and that method is from sliding mode control theory which is one of the best nonlinear control theory. In this paper, we tried to design an adaptive sliding mode controller with self-tuning that computed the sliding mode gain and the thickness of the boundary layer for real time control. This method rejected the control signal chattering, guaranteed the robustness of system uncertainty, minimized the trajectory errors by appling the sliding mode gain and the thickness of the boundary layer at the same time. As so, the controller might have the learning ability of treatment technique and repeated operation for structured and unstructured uncertainties of control model such that variation of parameter, load, disturbance, and that became robustness controller that can apply in the nonlinear systems. Proposed control theory in this paper have proved by mathematical analysis, and have verified by computer simulation.

계통-연계형 태양광발전시스템을 위한 이산형 적분 슬라이딩 모드 제어기 설계

이진국,김일송 忠州大學校 2009 한국교통대학교 논문집 Vol.44 No.-

The merit of the proposed controller is the tight control of the inductor current. Using the integral sliding surface the reaching phase which causes current overshoot during transient period can be eliminated. The proposed controller can avoid current overshoot and make optimal design for the system performance. The structure of the proposed controller is simple, but it shows robust tracking property against modeling uncertainities and parameter variations. The performance of the proposed system has been proved by the simulation and experimental results.

Discrete-Time Optimal Model Following System에 依한 追從制御問題의 解決에 關한 硏究

李鎭局 忠州大學校 1996 한국교통대학교 논문집 Vol.31 No.2

In the recent years there has been a rapid increase in the use of digital controllers in control systems. Digital controls are used for achieving optimal performance-for example, in the form of maximum productivity, maximum profit, minimum cost, or minimum energy use. In this paper, I had attempted verify the output of plant [including Optimal model following control(servo mechanism)]which is imlizated by using of computer. The result was that the expanded model following system depended on the model even though the plant(including discrete signals) is not stable and which have variable of parameter.

Rotary Inverted Pendulum 제어를 위한 Fuzzy Sliding Mode Controller에 관한 연구

李鎭局 忠州大學校 1998 한국교통대학교 논문집 Vol.33 No.2

Sliding mode controller is used to Nonlinear control system for satisfied contrl. However, it lead to avoid high frequency chattering on the control input and guarantees stability, the sliding mode gain and the thickness of the boundary layer must be chosen carefully. This paper proposed new sliding mode controller with tuning the thickness of the boundary layer and the sliding mode gain. It uses a fuzzy rule base for tuning both the thickness of the boundary layer and the sliding mode gain to guarantee stability, to eliminate a discontinuous controkl input, and to improve the tracking performance. In other to ensure the control performance in this case, we performed computer simulations using an Rotary Inverted Pendulum as a system.

Fuzzy Logic Controller를 가진 Trajectory Tracking Constem에 관한 연구

李鎭局 충주대학교 1997 한국교통대학교 논문집 Vol.32 No.2

In recent year there has been a rapid increase in the research of various fuzzy controllers in control systems. Especially, application of artificial Intelligence is used for optimal performance in the robot control systems. In this paper, I attempted to verify the output of plant which solved trajectory tracking control problem by using of Optimal model following system with Fuzzy gain scheduling. The result was that the expanted trajectory tracking controller depended on the model even though the plant was not stable and its parameter varied unreliably.

感度函數를 適用한 最適 LTR 制御器 設計方法에 關한 硏究

李鎭局 충주대 산업과학기술연구소 1999 産業科學論文集 Vol.7 No.1

In this paper, A new Approach on Optimal-LTR controller design method using sensitivity function is proposed. The firstly, H2-Kalman filter is designed, to shape the loop to satisfy the required performance specifications. The designed H2-Kalman filter, together with the plant transfer function, is used as a target transfer function. The secondarily, sensitivity function weighted H∞ suboptimal LTR is designed to recover the target loop transfer function. The advantage of the proposed scheme is that the procedure provides a tool for the design of trade-offs between the controller effort, the performance robustness, and the stability robustness with respect to specified structured uncertainties. Simulation results of LQG/LTR, H∞-LTR are compared to demonstrate the good property of the proposed new approach.

퍼지-神經網 슬라이딩모드制御器 設計

이진국 忠州大學校 2005 한국교통대학교 논문집 Vol.40 No.2

Sliding mode control theory is considered as the basic control structure in this paper since this control method is well-known to have the inherent robustness if the uncertainty bound on the systems function is a priori blown. Fuzzy logic and neural network are utilized to enhance both control performance and the robustness. These proposed controllers have still some difficulties about tuning of the membership function and rule bases, and finally, we proposed a new fuzzy-neural sliding mode controller which combines a neural network and a fuzzy reasoning. This fuzzy-neural sliding mode controller used the advantage of the learning ability of neural networks to control the fuzzy rule based membership function. Hence, the controller could have the teaming ability of control parameters and robustness against the variation of parameters, load and disturbances. All the proposed control methods in this paper is shown to guarantee the stability of the overall control system by mathematical analysis, and the control performance of the control methods are shown have compared by computer simulations.

境界層두께의 自己同調機能을 가진 퍼지슬라이딩모드制御器의 設計

李鎭局 충주대 2001 한국교통대학교 논문집 Vol.36 No.2

In this paper, we regard a fuzzy logic controller(FLC) as a special form of sliding mode controller.And we designed based on the similarity between the FLC and the sliding mode control. The proposed controller in this paper is formalized much more for construct the FLC and it can use knowledge about engineering type which is more useful. Fuzzy sliding mode controller(FSMC) which is resemble sliding mode control is provided, because it need to self-tuning the boundary layer thickness(dead zone parameter) quickly, while the controller adapt for variation of parameter in the control object.

Optimal model following system에 依한 追從制御問題의 解決

李鎭局 忠州大學校 1995 한국교통대학교 논문집 Vol.30 No.2

The Optimal model following control(servomachanism)theory is up-to-date theory in the part of optimal control. In this paper, I have attempted to verify the output of plant which is imlizated by using of computer. The result is that the expanted model following system depended on the model, even though the plant is not stable and it have variable of parameter.

電氣工學敎育의 發展方向에 關한 硏究

李鎭局,徐相壽,朴魯峰,李忠鎬,劉鍾哲,金洪奎,趙武濟,韓運東,池平植 충주대 2003 産業科學論文集 Vol.11 No.-

In this paper, we discuss actual conditions for running school of electrical and electronic engineering in domestic universities. Also, we catch hold of industrial circles's demands in electrical engineering education and analyze questionary results according to goes into effect school of electrical and electronic & information engineering in major of electrical and electronec engineering's students. Conclusively, we present suitable model in electrical engineering by correction of problems.