• Title/Summary/Keyword: hybrid systems

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Optimal Power Flow considering Security in Interconnected Power Systems (연계계통에서 안전도제약을 고려한 최적전력조류)

  • Kim, Kyu-Ho;Lee, Jae-Gyu;Rhee, Sang-Bong;You, Seok-Ku
    • Proceedings of the KIEE Conference
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    • 2001.07a
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    • pp.194-196
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    • 2001
  • This paper presents a hybrid algorithm for solving security constrained OPF in interconnected power systems, which is based on the combined application of evolutionary programming (EP) and sequential quadratic programming (SQP). The objective functions are the minimization of generation fuel costs and system power losses. In OPF considering security, the outages are selected by contingency ranking method. The control variables are the active power of the generating units, the voltage magnitude of the generator, transformer tap settings and SVC setting. The state variables are the bus voltage magnitude, the reactive power of the generating unit, line flows and the tie line flow. The method proposed is applied to the modified IEEE 14buses model system.

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Optimal Mission Design of the Supersonic Air-launching Rocket (초음속 공중발사로켓의 임무형상 최적설계)

  • Choi, Youngchang;Lee, Jaewoo;Byun, Yunghwan
    • Journal of the Korean Society of Systems Engineering
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    • v.1 no.1
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    • pp.67-72
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    • 2005
  • Design and optimization study has been performed to obtain a supersonic air.launching mission for the nanosat launcher. Given mission is to launch 10kg payload to target orbit of $700km{\times}700km$. Additional design constraints are imposed by the mother plane. After the required velocity is obtained, the stag ing optimization is carried out. Serial analyses for the propulsion system and aerodynamics are performed then, the rocket trajectory optimization has been carried out. After several mission design and optimization iterations, the optimized mission which satisfies the mission target is obtained. Total weight of the three-staged air-launching rocket is 1231.4kg and the payload weight is 10 kg.

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New Multiplier for a Double-Base Number System Linked to a Flash ADC

  • Nguyen, Minh-Son;Kim, In-Soo;Choi, Kyu-Sun;Lim, Jae-Hyun;Choi, Won-Ho;Kim, Jong-Soo
    • ETRI Journal
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    • v.34 no.2
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    • pp.256-259
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    • 2012
  • The double-base number system has been used in digital signal processing systems for over a decade because of its fast inner product operation and low hardware complexity. This letter proposes an innovative multiplier architecture using hybrid operands. The multiplier can easily be linked to flash analog-to-digital converters or digital systems through a double-base number encoder (DBNE) for realtime signal processing. The design of the DBNE and the multiplier enable faster digital signal processing and require less hardware resources compared to the binary processing method.

Performance Analysis of a Residual Frequency Estimator for Weak AGPS Signals in Frequency Domain (약 신호 환경의 AGPS를 위한 잔여주파수 추정기의 주파수 영역 성능 분석)

  • Park, Ji-Hee;Im, Hyun-Ja;Song, Seung-Hun;Sung, Tae-Kyung
    • Journal of Institute of Control, Robotics and Systems
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    • v.16 no.7
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    • pp.720-725
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    • 2010
  • In AGPS method, user position can be obtained even in the shadow region by improving signal sensitivity. A hybrid long integration scheme employing both coherent and non-coherent integration method is commonly used in AGPS receivers. Because coherent loss increases as residual frequency become large, residual frequency should be minimized to maximize coherent integration gain. This paper presents performance analysis of residual frequency estimator using FFT in fine-time assistance AGPS method. Considering the hardware complexity and the estimation accuracy, optimal length of FFT is proposed for GPS L1 C/A signal. Signal sensitivity for estimating the residual frequency is also analysed. By field experimental results, it is found that the residual frequency can be successfully estimated using 1 second snap-shot data when GPS signal strength is larger than -150 dBm and its RMS error is 3Hz.

Performance Analysis of a Sliding Mode Control for Distributed Generations

  • Islam, Gazi;Al-Durra, Ahmed;Muyeen, S.M.;Caruna, Cedric;Tamura, Junji
    • Journal of international Conference on Electrical Machines and Systems
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    • v.3 no.1
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    • pp.98-104
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    • 2014
  • This paper presents the performance analysis of a sliding mode based hybrid controller for three phase voltage source inverter. The main objective of this analysis is to observe the effectiveness of the controller for fault ride through (FRT) capability improvement of the distributed generations (DG). The performance of the conventional PI based cascaded controller is also presented for comparison purpose.

A Study on the Image Filter using Neuro-Fuzzy (뉴로-퍼지를 이용한 영상 필터 연구)

  • 변오성;이철희;문성룡;임기영
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2001.05a
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    • pp.83-86
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    • 2001
  • In this paper, it study about the image filter applied the hybrid fuzzy membership function to the neuro-fuzzy system. Here, this system applys the genetic algorithm in order to obtain the optimal image as the iteration carry for making the data value in the error. It is removed the included noise in an image using the proposed image filter and compared the proposed image filter performance with the other filters using MATLAB. And it is found that the proposed filter performance is superior to the other filters which has the similar structure through the images. To show the superior ability, it is compared with MSE and SNR for images.

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Performance Evaluation of a High-Speed LAN using a Dual Mode Switching Access Protocol (이중 모드 스윗칭 억세스 프로토콜을 이용한 고속 근거리 통신망의 성능평가)

  • 주기호
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.21 no.10
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    • pp.2620-2633
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    • 1996
  • In this paper, a new high-speed local area network using a dual mode switching access (DMSA) protocol implemented on a dual unidirectional bus is described. By utilizing the implicit positionalordering of stations on a unidirectional bus, the proposed system switches between random access mode and the token access model withoug unnecessary delay. Therefore, unlike other hybrid systems such as Buzz-net and Z-net, DMSA does not show a rapid degradation in performance as the load increases. We obtain the average channel utilization and the average access delay by using a simplified analytic model. The numerical results obtained via analysis are compared to the simulation resuls for a partial validation of the approximate model. The performance characteristics of DMSA are superior delay-throughput characteristics at light and medium loads, compared to compared to other LAN systems, and the capability of providing a single active station with full capabity of the channel.

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Fuzzy Modeling of Truck-Trailer Backing Problem Using DNA Coding-Based Hybrid Algorithm (DNA 코딩 기반의 하이브리드 알고리즘을 이용한 Truck-Trailer Backing Problem의 퍼지 모델링)

  • Kim, Jang-Hyun;Joo, Young-Hoon;Park, Jin-Bae
    • Proceedings of the KIEE Conference
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    • 2000.07d
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    • pp.2314-2316
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    • 2000
  • In the construction of successful fuzzy models and/or controllers for nonlinear systems, identification of a good fuzzy Neural inference system is an important yet difficult problem, which is traditionally accomplished by trial and error process. In this paper, we propose a systematic identification procedure for complex multi-input single- output nonlinear systems with DNA coding method.DNA coding method is optimization algorithm based on biological DNA as are conventional genetic algothms (GAs). We also propose a new coding method for applying the DNA coding method to the identification of fuzzy Neural models. To acquire optimal TS fuzzy model with higher accuracy and economical size, we use the DNA coding method to optimize the parameters and the number of fuzzy inference system.

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On-line Modeling for Nonlinear Process Systems using the Adaptive Fuzzy-Neural Network (적응 퍼지-뉴럴 네트워크를 이용한 비선형 공정의 On-line 모델링)

  • Park, Chun-Seong;Oh, Sung-Kwun;Kim, Hyun-Ki
    • Proceedings of the KIEE Conference
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    • 1998.11b
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    • pp.537-539
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    • 1998
  • In this paper, we construct the on-line model structure for the nonlinear process systems using the adaptive fuzzy-neural network. Adaptive fuzzy-neural network usually consists of two distinct modifiable structure, with both, the premise and the consequent part. These two parts can be adapted by different optimization methods, which are the hybrid learning procedure combining gradient descent method and least square method. To achieve the on-line model structure, we use the recursive least square method for the consequent parameter identification of nonlinear process. We design the interface between PLC and main computer, and construct the monitoring and control simulator for the nonlinear process. The proposed on-line modeling to real process is carried out to obtain the effective and accurate results.

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Mitigation of motions of tall buildings with specific examples of recent applications

  • Kareem, Ahsan;Kijewski, Tracy;Tamura, Yukio
    • Wind and Structures
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    • v.2 no.3
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    • pp.201-251
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    • 1999
  • Flexible structures may experience excessive levels of vibration under the action of wind, adversely affecting serviceability and occupant comfort. To ensure the functional performance of a structure, various design modifications are possible, ranging from alternative structural systems to the utilization of passive and active control devices. This paper presents an overview of state-of-the-art measures that reduce the structural response of buildings, including a summary of recent work in aerodynamic tailoring and a discussion of auxiliary damping devices for mitigating the wind-induced motion of structures. In addition, some discussion of the application of such devices to improve structural resistance to seismic events is also presented, concluding with detailed examples of the application of auxiliary damping devices in Australia, Canada, China, Japan, and the United States.