• Title/Summary/Keyword: Output response

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Fuzzy Modelling and Fuzzy Controller Design with Step Input Responses and GA for Nonlinear Systems (비선형 시스템의 계단 입력 응답과 GA를 이용한 퍼지 모델링과 퍼지 제어기 설계)

  • Lee, Wonchang;Kang, Geuntaek
    • Journal of the Korean Institute of Intelligent Systems
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    • v.27 no.1
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    • pp.50-58
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    • 2017
  • For nonlinear control system design, there are many studies based on TSK fuzzy model. However, TSK fuzzy modelling needs nonlinear dynamic equations of the object system or a data set fully distributed in input-output space. This paper proposes an modelling technique using only step input response data. The technique uses also the genetic algorithm. The object systems in this paper are nonlinear to control input variable or output variable. In the case of nonlinear to control input, response data obtained with several step input values are used. In the case of nonlinear to output, step input response data and zero input response data are used. This paper also presents a fuzzy controller design technique from TSK fuzzy model. The effectiveness of the proposed techniques is verified with numerical examples.

Modified Digital Pulse Width Modulator for Power Converters with a Reduced Modulation Delay

  • Qahouq, Jaber Abu;Arikatla, Varaprasad;Arunachalam, Thanukamalam
    • Journal of Power Electronics
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    • v.12 no.1
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    • pp.98-103
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    • 2012
  • This paper presents a digital pulse width modulator (DPWM) with a reduced digital modulation delay (a transport delay of the modulator) during the transient response of power converters. During the transient response operation of a power converter, as a result of dynamic variations such as load step-up or step-down, the closed loop controller will continuously adjust the duty cycle in order to regulate the output voltage. The larger the modulation delays, the larger the undesired output voltage deviation from the reference point. The three conventional DPWM techniques exhibit significant leading-edge and/or trailing-edge modulation delays. The DPWM technique proposed in this paper, which results in modulation delay reductions, is discussed, experimentally tested and compared with conventional modulation techniques.

Lyapunov Based Adaptive-Robust Control of the Non-Minimum phase DC-DC Converters Using Input-Output Linearization

  • Salimi, Mahdi;Zakipour, Adel
    • Journal of Power Electronics
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    • v.15 no.6
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    • pp.1577-1583
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    • 2015
  • In this research, a combined adaptive-robust current controller is developed for non-minimum-phase DC-DC converters in a wide range of operations. In the proposed nonlinear controller, load resistance, input voltage and zero interval of the inductor current are estimated using developed adaptation rules and knowing the operating mode of the converter for the closed-loop control is not required; hence, a single controller can be employed for a wide load and line changes in discontinuous and continuous conduction operations. Using the TMS320F2810 digital signal processor, the experimental response of the proposed controller is presented in different operating points of the buck/boost converter. During transition between different modes of the converter, the developed controller has a better dynamic response compared with previously reported adaptive nonlinear approach. Moreover, output voltage steady-state error is zero in different conditions.

Design of Battery System for Smoothing Wind Power Variations in Power System based on Frequency Response Analysis

  • Nakajima, Kyouhei;Umemura, Atsushi;Takahashi, Rion;Tamura, Junji
    • Journal of international Conference on Electrical Machines and Systems
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    • v.2 no.3
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    • pp.342-348
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    • 2013
  • As a number of wind power generation systems have been installed in power systems in the world, frequency fluctuations due to output power variations from wind farms have become a serious problem. Battery systems have been studied for smoothing the output variations and decreasing the resulting frequency fluctuations. Among these studies, efficient design of battery systems is one of the most important subjects from a point of view of cost. This paper presents a comparative analysis of the smoothing effect between the conventional moving average method and a new method based on frequency response analysis.

Probabilistic Design under Uncertainty using Response Surface Methodology and Pearson System (반응표면방법론과 피어슨 시스템을 이용한 불확실성하의 확률적 설계)

  • Baek Seok-Heum;Cho Soek-Swoo;Joo Won-Sik
    • Proceedings of the Computational Structural Engineering Institute Conference
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    • 2006.04a
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    • pp.275-282
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    • 2006
  • System algorithms estimated by deterministic input may occur the error between predicted and actual output. Especially, actual system can't predict the exact outputs due to uncertainty and tolernce of input parameters. A single output to a set of inputs has a limited value without the variation. Hence, we should consider various scatters caused by the load assessment, material characteristics, stress analysis and manufacturing methods in order to perform the robust design or etimate the reliability of structure. The system design with uncertainty should perform the probabilistic structural optimization with the statistical response and the reliability. This method calculated the probability distributions of the characteristics such as stress by combining stress analysis, response surface methodology and Monte Carlo simulation and got the probabilistic sensitivity. The sensitivity of structural response with respect to in constant design variables was estimated by fracture probability. Therefore, this paper proposed the probabilistic reliability design method for fracture of uncorved freight end beam and the design criteria by fracture probability.

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Evaluation of Transient Performance of Carburettered Gasoline Engine (과도운전시 가솔린기관의 성능평가)

  • Cho, G.S.;Ryu, J.I.
    • Transactions of the Korean Society of Automotive Engineers
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    • v.1 no.3
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    • pp.1-11
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    • 1993
  • An experimental study was carried out to evaluate the characteristics of transient performance of carburettered gasoline engine under rapid accelerating transient driving conditions. In order to evaluate the characteristics of transient performance quantitatively, the concept of dead time $t_d$ response delay time $t_r$ are introduced. Performance parameters such as air mass fiowrate Gat, engine speed N, manifold boost pressure Pb, and output torque T are measured simultaneously during the rapid opening of the throttle valve by the stepping motor. During the rapid opening of the throttle valve, air mass fiowrate Gat is increased immediately without delay time, but response of engine revolution N, and output torque T are delayed. Therefore hesitation, and stumble phenomena are occurred. Dead time $t_d$ and response delay time $t_r$ of engine revolution N, which is extremely delayed comparing to other performance parameters, are respectively 0.2-0.3sec., 3.0-4.6sec., and dead time rate $t_d/{\Delta}t$ and response delay time rate $t_r/{\Delta}t$ are linearly increased with the throttle valve opening rate ${\theta}$ during the acceleration from 12 degree to 20 degree at 1250rpm.

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The Difference between Real Output Growth and TFPG in Korea for the Role of R&D Stocks and Information and Telecommunication (IT): 1985-1998

  • Park, Chuhwan
    • Proceedings of the Korea Technology Innovation Society Conference
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    • 2003.05a
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    • pp.5-17
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    • 2003
  • This paper examines the effects of IT technology capital and R&D stock's variation on the growth of Korea's industries with the empirical approaches. We analyze the Granger causality and Impulse response function analysis among the Korea's industrial real output, IT technology capital, and R&D stocks. When it comes to this research conclusion, we know that IT technology capital and R&D stock's shocks affect the growth of Korea's industrial sector in terms of increasing in the real output growth rate.

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Separate Fuzzy Regression with Crisp Input and Fuzzy Output

  • Yoon, Jin-Hee;Choi, Seung-Hoe
    • Journal of the Korean Data and Information Science Society
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    • v.18 no.2
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    • pp.301-314
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    • 2007
  • The aim of this paper is to deal with a method to construct a separate fuzzy regression model with crisp input and fuzzy output data using a best response function for the center and the width of the predicted output. Also we introduce the crisp mean and variance of the predicted fuzzy value and also give some examples to compare a performance of the proposed fuzzy model with various other fuzzy regression model.

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A Fuzzy-PI Control Scheme of the Three-Phase Z-Source PWM Rectifier without AC-Side Voltage and Current Sensors (교류측 전압 및 전류 센서가 없는 3상 Z-소스 PWM 정류기의 퍼지-PI 제어)

  • Han, Keun-Woo;Jung, Young-Gook;Lim, Young-Cheol
    • The Transactions of The Korean Institute of Electrical Engineers
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    • v.62 no.6
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    • pp.767-781
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    • 2013
  • In this paper, we proposes the AC input voltage and current sensorless control scheme to control the input power factor and DC output voltage of the three-phase Z-source PWM rectifier. For DC-link voltage control which is sensitive to the system parameters of the PWM rectifier, fuzzy-PI controller is used. Because the AC input voltage and current are estimated using only the DC-link voltage and current, AC input voltage and current sensors are not required. In addition, the unity input power factor and DC output voltage can be controlled. The phase-angle of the detected AC input voltage and estimated voltage, the response characteristics of the DC output voltage according to the DC voltage references, the FFT results of the estimated voltage and current, efficiency, and the response characteristics of the conventional PI controller and fuzzy-PI controller are verified by PSIM simulation.

A Study on the Iterative Implementation of 2-D Digital Filter (2차원 디지털 필터의 반복실현에 관한 연구)

  • 장태용;이윤현
    • Proceedings of the Korean Institute of Communication Sciences Conference
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    • 1984.10a
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    • pp.82-87
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    • 1984
  • A 2-D digital filter with rational frequency response can be expanded into an infinite sequence of filterins operations. Each filtering operation can be implemented by convolution with a Low-order 20D finite-extent impulse response. If a convergence constraint is satisfied, the sequence of estimates will approach the desired output signal. In practice, as the number of iterations is finite, the frequency response implemented by iterative computations is an approximation to the desired rational frequency response.

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