• 제어로봇시스템학회:학술대회논문집
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• 제어로봇시스템학회 2005년도 ICCAS
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• pp.685-689
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• 2005

In this paper, we consider a robust output feedback model predictive controller(MPC) design for Wiener model. Nonlinearities that couldn't be represented in static nonlinearity block of Wiener model are regarded as uncertainties in linear block. An dynamic output feedback controller design method is presented for Wiener MPC. According to MPC algorithm, the control law is computed based on linear matrix inequality(LMI)at each sampling time by solving convex optimization. Also, a new parameter dependent Lyapunov function is proposed to get a less conservative condition. The results are illustrated with numerical example.

• 대한전기학회논문지:시스템및제어부문D
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• 제52권7호
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• pp.418-423
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• 2003

In order to describe the upper bound of the uncertainties without any information of the structure, we assume that the upper bound is represented as a Fredholm integral equation of the first kind, that is, an integral of the product of a predefined kernel with an unknown influence function. Based on the improved Lyapunov function, we propose an adaptation law that is capable of estimating the upper bound and we design a sliding mode control, which controls effectively for uncertain dynamic systems.

• 대한전기학회:학술대회논문집
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• 대한전기학회 2000년도 하계학술대회 논문집 D
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• pp.2308-2310
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• 2000

In adaptive fuzzy control, fuzzy systems are used to approximate the unknown plant nonlinearities. Until now, most of the papers in the field of controller design for nonlinear system using fuzzy systems considers the affine system with fixed grid-rule structure. This paper considers general nonlinear systems and dynamic fuzzy rule structure. Adaptive laws for fuzzy parameters and fuzzy rule structrue are established so that the whole system is stable in the sense of Lyapunov.

• Journal of Electrical Engineering and Technology
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• 제9권5호
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• pp.1551-1561
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• 2014

Design, Simulation and experimental analysis of closed loop time domain based Discrete PWM buck-boost converter are described. To improve the transient response and dynamic stability of the proposed converter, Discrete PID controller is the most preferable one. Discrete controller does not require any precise analytical model of the system to be controlled. The control system of the converter is designed using digital PWM technique. The proposed controller improves the dynamic performance of the buck-boost converter by achieving a robust output voltage against load disturbances, input voltage variations and changes in circuit components. The converter is designed through simulation using MATLAB/Simulink and performance parameters are also measured. The discrete controller is implemented, and design goal is achieved and the same is verified against theoretical calculation using LabVIEW.

• 한국해양공학회지
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• 제26권3호
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• pp.20-25
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• 2012

In this paper, the authors propose a new approach to the control problem of marine vessels that are moored or controlled by actuators. The vessel control system is basically based on Dynamic Positioning System (DPS) technology. The main object of this paper is to obtain a more useful control design method for DPS. In this problem, the control allocation is a complication. For this problem, many results have been given and verified by other researchers using a two-step process, with the controller and control allocation design processes carried out individually. In this paper, the authors provide a more sophisticated design solution for this issue. The authors propose a new design method in which the controller design and control allocation problems are considered and solved simultaneously. In other words, the system stability, control performance, and allocation problem are unified by an LMI (linear matrix inequality) based on control theory. The usefulness of the proposed approach is verified by a simulation using a supply vessel model.

• Korean Chemical Engineering Research
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• 제50권1호
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• pp.155-161
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• 2012

바이오필터에서 폐가스에 포함된 유기오염물을 제거하는 효율에 대한 미디움 흡착능력의 영향을 포괄하는 강인한 동적 바이오필터 모델링을 수행하였다. 특히 비정상상태의 운전 조건 하에서도 바이오필터에 의해 처리된 폐가스 내의 유기오염물 농도를 구하기 위한 바이오막, 가스상, 수착(sorption) 부피 및 흡착상의 네가지 모델요소로 구성된 독창적인 모델인 개선된 프로세스럼핑 모델을 제시하였다. 이전의 프로세스럼핑모델에서는 담체에 대한 VOC의 평형 흡착량이 담체의 수착부피 내의 용존 VOC 농도에 선형적으로 비례한다는 가정 하에서 식을 유도하였으므로, 폐가스 처리에 적용이 제한적이었다. 따라서 실제 적용을 위해서 Freundlich 식과 같은 흡착관계식을 프로세스럼핑 모델에 접합하여 모든 농도의 VOC의 경우에 유효한 강인한 프로세스럼핑 모델을 구축하였다. 프로세스럼핑 모델 파라미터 중에서 바이오필터 미디움의 흡착과 관련한 파라미터 값들을 선행논문의 동적 흡착칼럼실험 및 문헌을 통하여 구하였다. 또한 에탄올을 포함한 폐가스처리를 위한 비정상상태의 바이오필터실험을 수행하였고, 그 실험결과와 여러 가지 Thiele modulus(${\phi}$) 값을 가지는 동적 바이오필터모델링 예측 값과 비교하였다. 이때에 구하여진 Thiele modulus(${\phi}$) 값은 0.03에 근접하였다.

• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2005년도 춘계학술대회논문집
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• pp.196-200
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• 2005

Piezoelectric underwater acoustic transducer is a kind of device for underwater detection working as not only an actuator but also a sensor. The technique that can predict acoustical characteristics of transducer is important for robust design of transducer in harsh underwater environment. This paper represents the dynamic analysis of piezoelectric acoustic transducers based on finite element method through USAP software. Two dimensional model of Tonpilz transducer and three dimensional model of Flextensional transducer are generated for the dynamic analysis and some results obtained by USAP are compared with those by ANSYS.

• 자동차안전학회지
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• 제15권1호
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• pp.7-15
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• 2023

The purpose of this study is to predict the dynamic behavior of clamshell hood system on the harsh road driving condition, and secure the safety and durability performance of the system. The equation of motion of hood system is derived and the numerical analysis is implemented to obtain the lateral movement of the hood system. Also, the actual Belgian road test results are correlated to the predicted ones, and confirm the reliability of the system. Then, the parameter study is conducted to figure out the sensitive factors to affect the dynamic behavior, and the engineering design guide to make the system robust to confine the minimum friction force generated from hood latch and maximum hood weight is suggested from this research.

• 조명전기설비학회논문지
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• 제13권2호
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• pp.55-62
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• 1999

자동화 설비시스템에서 부품의 조립, 가공 등 복잡하고 정교한 임무를 수행시키기위해서는 end-effector의 이동경로 궤적에 대한 추적제어 뿐만 아니라 목표물에 대하여 접촉하는 힘의 궤적에 대한 추적제어가 필수적이다. 본 논문에서는 외란이나 시스템의 파라미터 변동 및 불확실설 등이 존재하는 자동화 설비시스템을 강인하고 정밀하게 제어할 수 ldT도로 하기 위해 동적 신경망 처리(DNP)라 불리우는 신경망 제어기를 설계하였다. 또한 자동화 설비시스템의 매니플레이터에 역기구학적인 좌표변환을 계산하기 위한 학습구조를 개발하였으며, DNP가 이용될수 있는 예를 설명하고자 한다. 제안된 동적 신경망인 DNP의 구조와 학습 알고리즘을 제시하고 컴퓨터 모의 실험을 통해 DNP를 이용한 제안된 학습법의 성능을 확인한다.

• 대한기계학회논문집A
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• 제25권5호
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• pp.850-856
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• 2001

Even though the hydraulic servo system has been widely used in industrial and military equipments since it has a lot of advantages, it is not easy to design controller due to the high nonlinearities and the parametric uncertainties. The dynamic behavior of the real process in the hydraulic servo system differs from that described by its model because the model is linearized. Another reason of the difference is caused by the variety of parameters, since the system parameters of the dynamic equation are affected by the operating conditions such as temperature and pressure. In this study, the designing process of the MRNC with a PID compensator is introduced and applied to the load sensing hydraulic servo system. The results show that the designed controller guarantees the robust control performance despite of both the nonlinearities and the parametric uncertainties.