• Title/Summary/Keyword: The weighting factor

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A Study on the Light Weighting of APU through Structural Analysis (구조해석을 통한 보조발전기 경량화에 관한 연구)

  • Kim, Hye-Eun;Kim, Jin-Hoon;Noh, Sang-Wan;Kim, Byeong-Ho;Baek, Hyun-Moo
    • Journal of Korean Society for Quality Management
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    • v.47 no.4
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    • pp.895-910
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    • 2019
  • Purpose: The purpose of this study is to lighten the APU (Auxiliary Power Unit) structure of the KAAV (Korea Assault Amphibious Vehicle) through structural analysis. Methods: Commercially-available program (MIDAS.NFX) was used for finite element analysis. Frequency response analysis was performed through linear static and mode analyses to verify the structural stability according to the change of the structural materials. Results: Numerical simulation (linear static, mode and frequency response analyses) results showed that the safety factor of the APU was over 1.5 even under the worst case conditions. The APU made by aluminum structures was expected to be available in the military field, since every requirements in the KDS (Korean Defense Specifications) was fulfilled during the various tests and evaluations. Conclusion: The structural analysis was verified that the structural stability of the APU structure of the KAAV after change of the structural material.

Finite Control Set Model Predictive Control with Pulse Width Modulation for Torque Control of EV Induction Motors (전기자동차용 유도전동기를 위한 유한제어요소 모델예측 토크제어)

  • Park, Hyo-Sung;Koh, Byung-Kwon;Lee, Young-il
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.65 no.12
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    • pp.2189-2196
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    • 2016
  • This paper proposes a new finite control set-model predictive control (FCS-MPC) method for induction motors. In the method, the reference state that satisfies the given torque and rotor flux requirements is derived. Cost indices for the FCS-MPC are defined using the state tracking error, and a linear matrix inequality is formulated to obtain a proper weighting matrix for the state tracking error. The on-line procedure of the proposed FCS-MPC comprises of two steps: select the output voltage vector of the two level inverter minimizing the cost index and compute the optimal modulation factor of the minimizing output voltage vector in order to reduce the state tracking error and torque ripple. The steady state tracking error is removed by using an integrator to adjust the reference state. The simulation and experimental results demonstrated that the proposed FCS-MPC shows good torque, rotor flux control performances at different rotating speeds.

Adaptive Compensation Method Using the Prediction Algorithm for the Doppler Frequency Shift in the LEO Mobile Satellite Communication System

  • You, Moon-Hee;Lee, Seong-Pal;Han, Young-Yearl
    • ETRI Journal
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    • v.22 no.4
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    • pp.32-39
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    • 2000
  • In low earth orbit (LEO) satellite communication systems, more severe phase distortion due to Doppler shift is frequently detected in the received signal than in cases of geostationary earth orbit (GEO) satellite systems or terrestrial mobile systems. Therefore, an estimation of Doppler shift would be one of the most important factors to enhance performance of LEO satellite communication system. In this paper, a new adaptive Doppler compensation scheme using location information of a user terminal and satellite, as well as a weighting factor for the reduction of prediction error is proposed. The prediction performance of the proposed scheme is simulated in terms of the prediction accuracy and the cumulative density function of the prediction error, with considering the offset variation range of the initial input parameters in LEO satellite system. The simulation results showed that the proposed adaptive compensation algorithm has the better performance accuracy than Ali's method. From the simulation results, it is concluded the adaptive compensation algorithm is the most applicable method that can be applied to LEO satellite systems of a range of altitude between 1,000 km and 2,000 km for the general error tolerance level, M = 250 Hz.

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A Study on Directions and Criteria for the Evaluation of Engineering College by the Media (언론사 공과대학 평가방향 및 기준에 대한 연구)

  • Han, Jiyoung;Yi, Kyung-woo
    • Journal of Engineering Education Research
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    • v.20 no.3
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    • pp.58-76
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    • 2017
  • This study was carried out with the aim of suggesting the directions and criteria for the evaluation of engineering college by the media. In order to accomplish the purpose of the research, we compare and analyze items and criteria of the evaluation of the engineering colleges by domestic and foreign major media companies and investigate and analyze opinions of the engineering community on the evaluation on engineering colleges and universities by media, and then suggest direction of improvements of the evaluation including evaluation items. As the methods of study, literature survey, field investigations, and interviews of experts were utilized. The results of this study are as follows. At first, the direction of evaluations should be focused on educational values of institutions, and then evaluation should consider the characteristics of each universities and engineering colleges. Expansion of participation of engineering communities in evaluation process is also necessary and to secure of reliable and public data is highly important. In addition, the weighting factor of educational performance area were proposed to raise and also the factors should be adjusted to reflect the characteristics of engineering colleges.

A Study on the Empirical Modeling of Rubber Bushing for Dynamic Analysis (동역학 해석을 위한 고무부싱의 실험적 모델링에 대한 연구)

  • Sohn, Jeong-Hyun;Baek, Woon-Kyung;Kim, Dong-Jo
    • Elastomers and Composites
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    • v.39 no.2
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    • pp.121-130
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    • 2004
  • A rubber bushing connects the components of the vehicle each other and reduce the vibration transmitted to the chassis frame. A rubber bushing has the nonlinear characteristics for both the amplitude and the frequency and represents the hysteretic responses under the periodic excitation. In this paper, one-axis durability test is performed to describe the mechanical behavior of typical vehicle elastomeric components. The results of the tests are used to develop m empirical bushing model with an artificial neural network. The back propagation algerian is used to obtain the weighting factor of the neural network. A numerical example is carried out to verify the developed bushing model and the vehicle simulation is performed to show the fidelity of proposed model.

Optimal layout of a partially treated laminated composite magnetorheological fluid sandwich plate

  • Manoharan, R.;Vasudevan, R.;Jeevanantham, A.K.
    • Smart Structures and Systems
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    • v.16 no.6
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    • pp.1023-1047
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    • 2015
  • In this study, the optimal location of the MR fluid segments in a partially treated laminated composite sandwich plate has been identified to maximize the natural frequencies and the loss factors. The finite element formulation is used to derive the governing differential equations of motion for a partially treated laminated composite sandwich plate embedded with MR fluid and rubber material as the core layer and laminated composite plate as the face layers. An optimization problem is formulated and solved by combining finite element analysis (FEA) and genetic algorithm (GA) to obtain the optimal locations to yield maximum natural frequency and loss factor corresponding to first five modes of flexural vibration of the sandwich plate with various combinations of weighting factors under various boundary conditions. The proposed methodology is validated by comparing the natural frequencies evaluated at optimal locations of MR fluid pockets identified through GA coupled with FEA and the experimental measurements. The converged results suggest that the optimal location of MR fluid pockets is strongly influenced not only by the boundary conditions and modes of vibrations but also by the objectives of maximization of natural frequency and loss factors either individually or combined. The optimal layout could be useful to apply the MR fluid pockets at critical components of large structure to realize more efficient and compact vibration control mechanism with variable damping.

Computation of 2-D mixed-mode stress intensity factors by Petrov-Galerkin natural element method

  • Cho, Jin-Rae
    • Structural Engineering and Mechanics
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    • v.56 no.4
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    • pp.589-603
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    • 2015
  • The mixed-mode stress intensity factors of 2-D angled cracks are evaluated by Petrov-Galerkin natural element (PG-NE) method in which Voronoi polygon-based Laplace interpolation functions and CS-FE basis functions are used for the trial and test functions respectively. The interaction integral is implemented in a frame of PG-NE method in which the weighting function defined over a crack-tip integral domain is interpolated by Laplace interpolation functions. Two Cartesian coordinate systems are employed and the displacement, strains and stresses which are solved in the grid-oriented coordinate system are transformed to the other coordinate system aligned to the angled crack. The present method is validated through the numerical experiments with the angled edge and center cracks, and the numerical accuracy is examined with respect to the grid density, crack length and angle. Also, the stress intensity factors obtained by the present method are compared with other numerical methods and the exact solution. It is observed from the numerical results that the present method successfully and accurately evaluates the mixed-mode stress intensity factors of 2-D angled cracks for various crack lengths and crack angles.

Optimization of a Cooling Channel with Staggered Elliptical Dimples Using Neural Network Techniques (신경회로망기법을 사용한 타원형 딤플유로의 냉각성능 최적화)

  • Kim, Hyun-Min;Moon, Mi-Ae;Kim, Kwang-Yong
    • The KSFM Journal of Fluid Machinery
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    • v.13 no.6
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    • pp.42-50
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    • 2010
  • The present analysis deals with a numerical procedure for optimizing the shape of elliptical dimples in a cooling channel. The three-dimensional Reynolds-averaged Navier-Stokes (RANS) analysis is employed in conjunction with the SST model for predictions of the turbulent flow and the heat transfer. Three non-dimensional geometric design variables, such as the ellipse dimple diameter ratio, ratio of the dimple depth to the average diameter, and ratio of the distance between dimples to the pitch are considered in the optimization. Twenty-one experimental points within design space are selected by Latin Hypercube Sampling. Each objective function values at these points are evaluated by RANS analysis and producing optimal point using surrogate model. The linear combination of heat transfer coefficient and friction loss related terms with a weighting factor is defined as the objective function. The results show that the optimized elliptical dimple shape improves considerably the heat transfer performance than the circular dimple shape.

Route Exploration Algorithm for Emergency Rescue Support on Urgent Disaster (긴급 재해 발생 시 피난 지원을 위한 탈출 경로 탐색 알고리즘)

  • Hwang, Jun-Su;Choi, Young-Bok
    • The Journal of the Korea Contents Association
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    • v.16 no.9
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    • pp.12-21
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    • 2016
  • The emergency evacuation support system supports evacuation assistance when an urgent disaster occurs. We have implemented evacuation route search algorithm to assist people's escape when a disaster occurs such as fires or terrorism in the building. The algorithm will guide the escape route at the fastest emergency exit of each region at the emergency state. The algorithm calculates the escape route by applying the weighting factor of age groups and population density around the emergency exit and of other regions. So the system helps escape to bypass the crowded emergency exit and the disaster area, and reduces the congestion of emergency exit and overloading of evacuation route.

Local Path Planning for Mobile Robot Using Artificial Neural Network - Potential Field Algorithm (뉴럴 포텐셜 필드 알고리즘을 이용한 이동 로봇의 지역 경로계획)

  • Park, Jong-Hun;Huh, Uk-Youl
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.64 no.10
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    • pp.1479-1485
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    • 2015
  • Robot's technology was very simple and repetitive in the past. Nowadays, robots are required to perform intelligent operation. So, path planning has been studied extensively to create a path from start position to the goal position. In this paper, potential field algorithm was used for path planning in dynamic environments. It is used for a path plan of mobile robot because it is elegant mathematical analysis and simplicity. However, there are some problems. The problems are collision risk, avoidance path, time attrition. In order to resolve path problems, we amalgamated potential field algorithm with the artificial neural network system. The input of the neural network system is set using relative velocity and location between the robot and the obstacle. The output of the neural network system is used for the weighting factor of the repulsive potential function. The potential field algorithm problem of mobile robot's path planning can be improved by using artificial neural network system. The suggested algorithm was verified by simulations in various dynamic environments.