• Title/Summary/Keyword: Multi-level Optimization

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A Novel Virtual Space Vector Modulation Strategy for the Neutral-Point Potential Comprehensive Balance of Neutral-Point-Clamped Converters

  • Zhang, Chuan-Jin;Tang, Yi;Han, Dong;Zhang, Hui;Zhang, Xiao;Wang, Ke
    • Journal of Power Electronics
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    • v.16 no.3
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    • pp.946-959
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    • 2016
  • A novel Virtual Space Vector (VSV) modulation strategy for complete control of potential neutral point (NP) issues is proposed in this paper. The neutral point potential balancing problems of multi-level converters, which include elimination of low frequency oscillations and self-balancing for NP dc unbalance, are investigated first. Then a set of improved virtual space vectors with dynamic adjustment factors are introduced and a multi-objective optimization algorithm which aims to optimize these adjustment factors is presented in this paper. The improved virtual space vectors and the multi-objective optimization algorithm constitute the novel Virtual Space Vector modulation. The proposed novel Virtual Space Vector modulation can simultaneously recover NP dc unbalance and eliminate low frequency oscillations of the neutral point. Experiment results show that the proposed strategy has excellent performance, and that both of the neutral point potential issues can be solved.

Optimization of Redundancy Allocation in Multi Level System considering Alternative Units (대안 부품을 고려한 다계층 시스템의 최적 중복 설계)

  • Chung, Il-Han
    • Journal of Korean Society for Quality Management
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    • v.43 no.1
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    • pp.31-42
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    • 2015
  • Purpose: System consists of a lot of units with coherent function. In design phase, various units could be considered with the same function. In this study, we consider the alternative units with the same function and redundancy allocation to maximize system reliability in multi level system. Methods: The redundancy allocation problem with the alternative units in multi level system is formulated. Memetic algorithm(MA) is proposed to optimize the redundancy allocation problem. In addition, the performance of the proposed algorithm is explained by a numerical experiment. Results: MA showed better results than genetic algorithm(GA) and the convergence of the solutions in MA was also faster than GA. In addition, we could know from experiment that system reliability is increased and the chosen unit for redundancy allocation is changed if cost limit is increased. Conclusion: The chose unit for redundancy allocation is changed as resource constraints. It means we need to consider the alternative units in system design. In the future, we need to consider various problem related to redundancy allocation in multi level system and develop the better method to enhance search performance.

An Optimization Design of the Diode Clamped Multi-Level Converter for Coaxial Inductive Power Transfer on the Low Voltage DC Micro-grid

  • Pairindra, Worapong;Khomfoi, Surin
    • Journal of Electrical Engineering and Technology
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    • v.13 no.1
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    • pp.333-344
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    • 2018
  • This proposed paper aims for the high efficiency contactless power transfer in household dc power distribution. A 300 W five-level diode clamped multi-level converter with 300 Vdc input dc link bus is employed for the power transferring task and the output voltage range is controlled at 48 Vdc. The inner and outer solenoid coils are used for inductive power transfer (IPT) transformer with the 200 kHz switching frequency for designed power density. Therefore, to achieve the converter efficiency above 95%, the LLC series resonant with fundamental harmonic analysis (FHA) and the calculated switching angles are used as an optimized tool for designing the system resonant tank. The validations of this approached topology are illustrated in both MATLAB/Simulink simulation and implementation.

A Synchronized Job Assignment Model for Manual Assembly Lines Using Multi-Objective Simulation Integrated Hybrid Genetic Algorithm (MO-SHGA) (다목적 시뮬레이션 통합 하이브리드 유전자 알고리즘을 사용한 수동 조립라인의 동기 작업 모델)

  • Imran, Muhammad;Kang, Changwook
    • Journal of Korean Society of Industrial and Systems Engineering
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    • v.40 no.4
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    • pp.211-220
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    • 2017
  • The application of the theoretical model to real assembly lines has been one of the biggest challenges for researchers and industrial engineers. There should be some realistic approach to achieve the conflicting objectives on real systems. Therefore, in this paper, a model is developed to synchronize a real system (A discrete event simulation model) with a theoretical model (An optimization model). This synchronization will enable the realistic optimization of systems. A job assignment model of the assembly line is formulated for the evaluation of proposed realistic optimization to achieve multiple conflicting objectives. The objectives, fluctuation in cycle time, throughput, labor cost, energy cost, teamwork and deviation in the skill level of operators have been modeled mathematically. To solve the formulated mathematical model, a multi-objective simulation integrated hybrid genetic algorithm (MO-SHGA) is proposed. In MO-SHGA each individual in each population acts as an input scenario of simulation. Also, it is very difficult to assign weights to the objective function in the traditional multi-objective GA because of pareto fronts. Therefore, we have proposed a probabilistic based linearization and multi-objective to single objective conversion method at population evolution phase. The performance of MO-SHGA is evaluated with the standard multi-objective genetic algorithm (MO-GA) with both deterministic and stochastic data settings. A case study of the goalkeeping gloves assembly line is also presented as a numerical example which is solved using MO-SHGA and MO-GA. The proposed research is useful for the development of synchronized human based assembly lines for real time monitoring, optimization, and control.

Optimal Placement of Strain Gauge for Vibration Measurement for Fan Blade (블레이드 진동측정을 위한 스트레인 게이지 설치위치 최적화)

  • Choi ByeongKeun
    • Transactions of the Korean Society for Noise and Vibration Engineering
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    • v.14 no.9 s.90
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    • pp.819-826
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    • 2004
  • A multi-step optimum strategy for the selection of the locations and directions of strain gauges is proposed in this paper to capture at best the modal response of blade in a series of modes on fan blades. It is consist of three steps including two pass reduction step, genetic algorithm and fine optimization to find the locations-directions of strain gauges. The optimization is based upon the maximum signal-to-noise ratio(SNR) of measured strain values with respect to the inherent system measurement noise, the mispositioning of the gauge in location and gauge failure. Optimal gauge positions for a fan blade is analyzed to prove the effectiveness of the multi-step optimum methodology and to investigate the effects of the considering parameters such as the mispositioning level, the probability of gauge failure, and the number of gauges on the optimal strain gauge position.

A Study on Hydrophone Array Design Optimization for Cavitation Tunnel Noise Measurements (캐비테이션 터널 시험용 청음기배열 최적 설계기법)

  • Park, Cheolsoo;Seol, Hanshin;Kim, Gundo;Park, Youngha
    • The Journal of the Acoustical Society of Korea
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    • v.32 no.3
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    • pp.237-246
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    • 2013
  • This paper proposes a hydrophone array design optimization technique for cavitation tunnel noise measurements. The optimization technique comprises of design parameters, an objective function and an optimization algorithm. The design parameters are defined for circular, spiral and multi-spiral arrays. The objective function is defined so as to consider the mainlobe beamwidth and the maximum sidelobe level simultaneously. A global optimization scheme is applied to the array design using very fast simulated reannealing (VFSR). After applying the optimization technique to arrays respectively, the peak sidelobe level and the mainlobe beamwidth of optimum arrays are analyzed. Finally the array patterns considering multiple reflections in the cavitation tunnel are evaluated to validate the proposed method.

A Circuit Complexity Optimization ILP Algorithm of High-level Synthesis System for New Multiprocessor Design (새로운 멀티프로세서 디자인을 위한 상위수준합성 시스템의 회로 복잡도 최적화 ILP 알고리즘)

  • Chang, Jeong-Uk;Lin, Chi-Ho
    • The Journal of the Institute of Internet, Broadcasting and Communication
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    • v.16 no.3
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    • pp.137-144
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    • 2016
  • In this paper, we have proposed a circuit complexity optimization ILP algorithm of high-level synthesis system for new multiprocessor design. We have analyzed to the operator characteristics and structure of datapath in the most important high-level synthesis. We also introduced the concept of virtual operator for the scheduling of multi-cycle operations. Thus, we demonstrated the complexity to implement a multi-cycle operation of the operator, regardless of the type of operation that can be applied for commonly use in the ILP algorithm. We have achieved is that standard benchmark model for the scheduling of the 5th digital wave filter, it was exactly the same due to the existing datapath scheduling results.

Route Optimization Using a Limited Prefix Delegation Method in Multi-level Nested Mobile Network Environments (다단 중첩된 이동네트워크 환경에서 제한된 프리픽스 위임 방법을 이용한 경로최적화)

  • Song, Jung-Wook;Han, Sun-Young
    • Journal of KIISE:Information Networking
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    • v.36 no.4
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    • pp.309-321
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    • 2009
  • Nowadays, requests of connecting to the Internet while moving are increasing more and more, and various technologies have been developed for satisfying those requests. The IETF nemo WG standardized "Network Mobility Basic Support Protocol" for supporting mobile network through extending existing MIPv6 protocol for supporting host mobility. But, mobile networks can be nested while they are changing their location. And if they are multi -level nested, that causes some problems because of protocol characteristic. In this paper, we try to solve the problem that is complicated routing path caused by multi-level nesting of mobile networks with our limited prefix delegation method. We give a little modification to the standard protocol and add some functions to mobile router. With results from analysis, we could say that our method has better performance than other proposed methods.

A New Decomposition Method for Parallel Processing Multi-Level Optimization

  • Park, Dong-Hoon;Park, Hyung-Wook;Kim, Min-Soo
    • Journal of Mechanical Science and Technology
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    • v.16 no.5
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    • pp.609-618
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    • 2002
  • In practical designs, most of the multidisciplinary problems have a large-size and complicate design system. Since multidisciplinary problems have hundreds of analyses and thousands of variables, the grouping of analyses and the order of the analyses in the group affect the speed of the total design cycle. Therefore, it is very important to reorder and regroup the original design processes in order to minimize the total computational cost by decomposing large multidisciplinary problems into several multidisciplinary analysis subsystems (MDASS) and by processing them in parallel. In this study, a new decomposition method is proposed for parallel processing of multidisciplinary design optimization, such as collaborative optimization (CO) and individual discipline feasible (IDF) method. Numerical results for two example problems are presented to show the feasibility of the proposed method.

Optimal Design of Mold Layout and Packing Pressure for Automobile TCU Connector Cover Based on Injection Molding Analysis and Desirability Function Method (사출성형 해석과 선호함수법에 기초한 자동차 TCU 커넥터 커버의 금형 레이아웃 및 보압의 최적 설계)

  • Park, Jong-Cheon;Yu, Man-Jun
    • Journal of the Korean Society of Manufacturing Process Engineers
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    • v.19 no.9
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    • pp.1-8
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    • 2020
  • In this study, the optimal design of the multi-cavity mold layout and packing pressure for the automobile TCU connector cover is determined based on the injection molding analysis and the desirability function method for multi-characteristic optimization. The design characteristics to be optimized are the warpage and sink marks of the product, the scrap of the feed system, and the clamping force. The optimal design is determined by performing injection molding analysis and desirability analysis for design alternatives defined by a complete combination of five mold layouts and six-level packing pressure. The optimal design shows that the desirability values for individual characteristics are quite high and balanced, and the resulting values of individual characteristics are satisfactorily low.