• Title/Summary/Keyword: Fuzzy Gain Tuning

검색결과 75건 처리시간 0.017초

전력계통 안정도 향상을 위한 SVC용 퍼지제어기의 설계 (Design of SVC Fuzzy Logic Controller for Improving Power System Stability)

  • 정근영;황기현;손종훈;김형수;문경준;박준호
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2000년도 하계학술대회 논문집 A
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    • pp.221-223
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    • 2000
  • This paper describes the design of SVC fuzzy logic controller (SVC-FLC) using adaptive evolutionary algorithm and we tuned the gain of input-output variables of SYC-FLC using it. We performed the nonlinear simulation on an single-machine infinite system to prove the efficiency of the proposed method. The proposed SYC-FLC showed the better performance than PD controller in terms of the settling time and damping effect, for system operation condition used in evaluating the robustness and three phase grounding default in cases of nominal loading used in tuning SVC-FLC for a single-machine infinite system.

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Fuzzy Adaptive Modified PSO-Algorithm Assisted to Design of Photonic Crystal Fiber Raman Amplifier

  • Akhlaghi, Majid;Emami, Farzin
    • Journal of the Optical Society of Korea
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    • 제17권3호
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    • pp.237-241
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    • 2013
  • This paper presents an efficient evolutionary method to optimize the gain ripple of multi-pumps photonic crystal fiber Raman amplifier using the Fuzzy Adaptive Modified PSO (FAMPSO) algorithm. The original PSO has difficulties in premature convergence, performance and the diversity loss in optimization as well as appropriate tuning of its parameters. The feasibility and effectiveness of the proposed hybrid algorithm is demonstrated and results are compared with the PSO algorithm. It is shown that FAMPSO has a high quality solution, superior convergence characteristics and shorter computation time.

활성화 함수의 이득 가변화를 이용한 역전파 알고리즘의 성능개선 (The Performance Improvement of Backpropagation Algorithm using the Gain Variable of Activation Function)

  • 정성부;이현관;엄기환
    • 전자공학회논문지CI
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    • 제38권6호
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    • pp.26-37
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    • 2001
  • 일반적인 역전파 알고리즘의 여러 가지 문제점들을 개선하기 위하여 활성화 함수의 이득을 퍼지 로직 시스템을 이용하여 자동 조절하는 방식을 제안하였다. 퍼지 로직 시스템을 구성하기 위하여 먼저 활성화 함수의 이득의 변화가 학습율, 연결강도 바이어스 등의 변화와 등가인 관계를 조사하였다 퍼지 로직 시스템의 입력은 마지막층에 대한 오차의 감도와 은닉층에 대한 오차의 평균 감도를 사용하였고, 출력은 활성화 함수의 이득을 사용하였다. 제안한 방식과 일반적인 역전파 알고리즘을 패리티 문제, 함수 근사화 문제 및 패턴 인식 문제등에 대하여 시뮬레이션하여 비교 검토한 결과 수렴비, 평균 학습 반복수, 정말도 및 새로운 입력 에 대한 원하는 오차 범위의 출력을 얻는 등의 성능이 개선됨을 알았다.

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궤도차량의 동적 궤도장력 조절시스템을 위한 유압시스템의 동적 모델링 (Hydraulic System Modeling far Dynamic Track Tensioning System in Tracked Vehicles)

  • 허건수;임훈기;서문석
    • 한국공작기계학회:학술대회논문집
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    • 한국공작기계학회 2003년도 춘계학술대회 논문집
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    • pp.282-287
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    • 2003
  • DTTS(Dynamic Track Tensioning System) system requires robust control performance for the various maneuvering tasks. However, it is very difficult to tune the controller gains in experiments. In this paper, the hydraulic unit is modeled and constructed into the DTTS control module in Matlab/Simulink The control module is interfaced to the vehicle dynamics module so that the control performance of the DTTS system can be evaluated in simulations. The dynamics data and control input data are exchanged between two modules at each control time-step. The gains in the fuzzy-logic controller are varied and the control performance is evaluated in simulations. The proposed simulation tool can be very useful for the gain tuning of track tension controller in bucked vehicles

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IPMSM 드라이브의 성능 향상을 위한 하이브리드 PI 제어기 (Hybrid PI Controller for Performance Improvement of IPMSM Drive)

  • 남수명;이정철;이홍균;최정식;고재섭;박기태;정동화
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 2005년도 춘계학술대회 논문집 전기기기 및 에너지변환시스템부문
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    • pp.191-193
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    • 2005
  • This paper presents Hybrid PI controller of IPMSM drive using fuzzy adaptive mechanism(FAM) control. To increase the robustness, fixed gam PI controller, Hybrid PI controller proposes a new method based self tuning PI controller. Hybrid PI controller is developed to minimize overshoot and settling time following sudden parameter changes such as speed, load torque, inertia, rotor resistance and self inductance. The results on a speed controller of IPMSM are presented to show the effectiveness of the proposed gain tuner. And this controller is better than the fixed gains one in terms of robustness, even under great variations of operating conditions and load disturbance.

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