• 한국소음진동공학회:학술대회논문집
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• 한국소음진동공학회 2002년도 춘계학술대회논문집
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• pp.1086-1092
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• 2002

Computer simulation is essential to design the suspension elements of railway vehicle. By computer simulation, engineers can assess the feasibility of a given design factors and change them to get a better design. But if one wishes to perform complex analysis on the simulation, such as railway vehicle dynamic, the computational time can become overwhelming. Therefore, many researchers have used a mega model that has a regression model made by sampling data through simulation. In this paper, the neural network is used a mega model that have twenty-nine design variables and forty-six responses. After this mega model is constructed, multi-objective optimal solutions are achieved by using the differential evolution. This paper shows that this optimization method using the neural network and the differential evolution is a very efficient tool to solve the complex optimization problem.

• 한국신재생에너지학회:학술대회논문집
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• 한국신재생에너지학회 2008년도 추계학술대회 논문집
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• pp.353-356
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• 2008

HEV(Hybrid Electrical Vehicle) is considered as one of the next generation vehicles. To develop the HEV, there must be a reliable simulator, by which the capacities of the power resources are tested, and the parameters of the HEV are optimized before developing the real model of the HEVs. This process can save the money for designing the HEV system and improve the system without experiments. Matlab Simulink is familiar to mechanical engineers and the program can simultaneously provide a system model and a controller in one program. Nowadays, the Simdriveline toolbox which is used for analysis a power-train system is applied to build a dynamic model for a HEV system. In this study, we make a HEV simulator with the Simdriveline toolbox and develop a controller. There are two simple strategies, applied to the controller. One strategy includes a power split ratio and a shift map which are created by user. Other strategy calculated an appropriate amount of resource's torque along specific results, and this is useful when users can't develop a fitting controller. The methodologies for configuring the simulator and its control system are presented in this paper.

• 대한전기학회:학술대회논문집
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• 대한전기학회 1995년도 하계학술대회 논문집 B
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• pp.705-709
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• 1995

The objective of this study is to design a multi-layer neural network which controls the position of excavator's attachment. In this paper, a dynamic controller has been developed based on an error back-propagation(BP) neural network. Since the neural network can model an arbitrary nonlinear mapping, it was used as a commanded feedforward input generator. A PD feedback controller is used in parallel with the feedforward neural network to train the system. The neural network was trained by the current state of the excavator as well as the PD feedback error. By using the BP network as a feedforward controller, no a priori knowledge on system dynamics is need. Computer simulation results demonstrate such powerful characteristics of the proposed controller as adaptation to changing environment, robustness to disturbancen and performance improvement with the on-line learning in the position control of excavator attachment.

• 한국안전학회지
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• 제18권2호
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• pp.132-138
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• 2003

고속철도교량에서 장대레일의 사용은 연결부 근처에서 레일과 교량상판사이의 비선형 거동으로 인하여 부가적인 응력을 유발한다. 고속철도 교량의 지진응답해석에서, 구조물응답은 지반운동특성에 매우 영향을 많이 받으므로, 지반운동의 위치에 따른 변화가 구조물의 응답에 영향을 미치게 되고, 그 결과는 레일에 응력을 유발하게 된다. 또한 고속철도에서 사용지진 수준의 지진발생 시에 열차의 긴 제동거리가 필요하므로 열차의 안전한 정지를 확보하는 것이 요구된다. 이러한 관점에서 장대레일에 의해 부가적으로 발생하는 응력, 지반운동의 공간변화에 대한 구조물 응답의 영향, 그리고 안전하게 정지하기 위해 필요한 열차의 제동거리 등의 사항이 레일의 응력해석에 고려될 필요가 있다. 본 논문에서는 지진하중을 받는 고속철도교량의 장대레일 응력해석을 위하여 제동하중, 지반운동의 공간적 변화, 그리고 레일의 재료 비선형을 고려한 시간영역에서의 비선형 동적해석방법을 개발하고 적용하였다. 제시된 방법을 한국고속철도의 특정부지에 적용하여 지반운동의 공간변화에 따른 응답의 타당성을 보였다.

• Journal of Power Electronics
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• 제13권1호
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• pp.139-160
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• 2013

In this paper, an intelligent robust control system (IRCS) for precision tracking control of permanent-magnet synchronous motor (PMSM) servo drives is proposed. The IRCS comprises a recurrent wavelet-based interval type-2 fuzzy-neural-network controller (RWIT2FNNC), an RWIT2FNN estimator (RWIT2FNNE) and a compensated controller. The RWIT2FNNC combines the merits of a self-constructing interval type-2 fuzzy logic system, a recurrent neural network and a wavelet neural network. Moreover, it performs the structure and parameter-learning concurrently. The RWIT2FNNC is used as the main tracking controller to mimic the ideal control law (ICL) while the RWIT2FNNE is developed to approximate an unknown dynamic function including the lumped parameter uncertainty. Furthermore, the compensated controller is designed to achieve $L_2$ tracking performance with a desired attenuation level and to deal with uncertainties including approximation errors, optimal parameter vectors and higher order terms in the Taylor series. Moreover, the adaptive learning algorithms for the compensated controller and the RWIT2FNNE are derived by using the Lyapunov stability theorem to train the parameters of the RWIT2FNNE online. A computer simulation and an experimental system are developed to validate the effectiveness of the proposed IRCS. All of the control algorithms are implemented on a TMS320C31 DSP-based control computer. The simulation and experimental results confirm that the IRCS grants robust performance and precise response regardless of load disturbances and PMSM parameters uncertainties.

• Steel and Composite Structures
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• 제47권2호
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• pp.167-184
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• 2023

In this study, a new recentering friction device (RFD) to retrofit steel moment frame structures is introduced. The device provides both self-centering and energy dissipation capabilities for the retrofitted structure. A hybrid performance-based seismic design procedure considering multiple limit states is proposed for designing the device and the retrofitted structure. The design of the RFD is achieved by modifying the conventional performance-based seismic design (PBSD) procedure using computational intelligence techniques, namely, genetic algorithm (GA) and artificial neural network (ANN). Numerous nonlinear time-history response analyses (NLTHAs) are conducted on multi-degree of freedom (MDOF) and single-degree of freedom (SDOF) systems to train and validate the ANN to achieve high prediction accuracy. The proposed procedure and the new RFD are assessed using 2D and 3D models globally and locally. Globally, the effectiveness of the proposed device is assessed by conducting NLTHAs to check the maximum inter-story drift ratio (MIDR). Seismic fragilities of the retrofitted models are investigated by constructing fragility curves of the models for different limit states. After that, seismic life cycle cost (LCC) is estimated for the models with and without the retrofit. Locally, the stress concentration at the contact point of the RFD and the existing steel frame is checked being within acceptable limits using finite element modeling (FEM). The RFD showed its effectiveness in minimizing MIDR and eliminating residual drift for low to mid-rise steel frames models tested. GA and ANN proved to be crucial integrated parts in the modified PBSD to achieve the required seismic performance at different limit states with reasonable computational cost. ANN showed a very high prediction accuracy for transformation between MDOF and SDOF systems. Also, the proposed retrofit showed its efficiency in enhancing the seismic fragility and reducing the LCC significantly compared to the un-retrofitted models.

• 한국융합학회논문지
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• 제9권2호
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• pp.303-311
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• 2018

스쿼트운동은 안전하고 효과적인 운동성과를 기대할 수 있는 중요한 프리웨이트운동의 하나로 하체강화운동에 가장 효과적인 운동으로 알려져 있다. 인터렉티브 스쿼트운동 장치를 활용하여 동적인 운동과정을 단순화하여 스쿼트 운동 동작을 모델링하고 이를 기반으로 한 생체신호 및 동작 분석을 수행할 수 있으며 또한 장치를 통해 사용자 자세교정을 통해 올바르고 효과 높은 스쿼트운동 과정을 확립할 수 있다. 제안된 모델링을 기반으로 설계된 풋플레이트에 위치한 로드셀의 검출된 신호를 활용하여 스쿼트동작을 생체신호검출과 검출된 신호처리과정을 거쳐 스쿼트운동의 오류동작을 검출해 내는 신호출력을 확보할 수 있다. 본 논문에서 제안된 인터랙티브 스쿼트운동장치의 설계방법과 동작의 안전성 분석방법은 생체역학 신호처리 방법에 기인하며 사용자의 스쿼트 운동자세를 해석을 위한 검출된 생체신호 및 동작신호를 통해 올바르지 못한 스쿼트 동작을 교정함으로서 바른 스쿼트 운동을 유도할 수 있으며 연구 결과를 VR 장치에 적용하거나 운동 평가를 위한 장치로 활용할 수 있다.

• 한국철도학회논문집
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• 제17권5호
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• pp.336-341
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• 2014

기차나 군용 트럭 등에 이용되던 굴절차량이 승객의 대량 수송을 위하여 일반 도로에 적용이 검토되고 있다. 레일을 따라가지 않고 일반 도로에서 주행하는 굴절차량은 회전반경, 차량 선회 폭, 이탈궤적, 스윙아웃등 다양한 제어 요소를 갖는다. 현재 승객 수송을 목적으로 제작되는 굴절차량은 각 바퀴에 하나의 모터를 장착하고 구동하는 독립 구동 방식을 채택하고 있으며, 각 바퀴의 독립 제어를 통하여 차량의 빠르고 정확한 자세제어가 가능하다. 이 논문에서는 여러 제어 요소 중 굴절차량의 최초 목적인 회전반경 감소를 위한 토크 분배 알고리즘을 제안하고, 시뮬레이션을 통하여 회전 반경이 감소함을 검증하였다.

• Smart Structures and Systems
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• 제33권1호
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• pp.1-16
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• 2024

The investigation on vehicle-bridge coupling system (VBCS) is crucial in bridge design, bridge condition evaluation, and vehicle overload control. A real-time hybrid testing (RTHT) method for VBCS (RTHT-VBCS) is proposed in this paper for accurately and economically disclosing the dynamic performance of VBCSs. In the proposed method, one of the carriages is chosen as the experimental substructure loaded by servo-hydraulic actuator loading system in the laboratory, and the remaining carriages as well as the bridge structure are chosen as the numerical substructure numerically simulated in one computer. The numerical substructure and the experimental substructure are synchronized at their coupling points in terms of force equilibrium and deformation compatibility. Compared to the traditional iteration experimental method and the numerical simulation method, the proposed RTHT-VBCS method could not only obtain the dynamic response of VBCS, but also economically analyze various working conditions. Firstly, the theory of RTHT-VBCS is proposed. Secondly, numerical models of VBCS for RTHT method are presented. Finally, the feasibility and accuracy of the RTHT-VBCS are preliminarily validated by real-time hybrid simulations (RTHSs). It is shown that, the proposed RTHT-VBCS is feasible and shows great advantages over the traditional methods, and the proposed models can effectively represent the VBCS for RTHT method in terms of the force equilibrium and deformation compatibility at the coupling point. It is shown that the results of the single-degree-of-freedom model and the train vehicle model are match well with the referenced results. The RTHS results preliminarily prove the effectiveness and accuracy of the proposed RTHT-VBCS.

• 한국구조물진단유지관리공학회 논문집
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• 제19권4호
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• pp.125-135
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• 2015

철도교량의 경제성 확보를 전제로 PSC I형 거더의 장경간화 추세는 근간에 가장 활발히 진행되고 있는 연구이며, 이에 따른 교량의 강성확보를 위한 거더의 효율적인 기하형상 선정은 우선시 되어야할 과제이다. 본 연구에서는 회전반경과 휨효율을 기반으로 확장된 상부플랜지의 거더 단면을 선정하였으며, 본 거더가 적용된 경간장 25m, 30m, 35m, 40m PSC I형 거더교를 대상으로 수치해석을 수행하여 국내 및 국외의 동적성능 기준과의 부합여부를 검증하였다. 또한 경간장 40m PSC I형 거더의 동적성능을 상대적으로 비교하기 위해서 현재 호남고속철도에서 적용된 40m PSC Box 거더교를 대상으로 동적 해석을 수행하였고 KTX열차와 화물열차 주행 시의 동적안정성을 수치해석적으로 검토하여 국내 및 국외의 동적 안정성 기준과 부합여부를 검토하였다. 추가로 표준열차하중과 충격계수를 고려하여 정적해석을 수행하고 한계치와의 부합여부를 분석하였다. 그 결과, 검토대상 PSC I형 거더 철도교는 모든 항목에서 국내 철도교량 관련 정적, 동적안정성 기준치를 만족하는 것으로 분석되었다.