• 제목/요약/키워드: Error-Parameter

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비선형 시스템의 계수추정 알고리즘 연구 (A Study on the Parameter Estimation Algorithm for Nonlinear Systems)

  • 이달호;성상만
    • 대한전기학회논문지:전력기술부문A
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    • 제48권7호
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    • pp.898-902
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    • 1999
  • In this paper, we proposed an algorithm for estimating parameters of nonlinear continuous-discrete state-space system. This algorithm uses the conventional extended Kalman filter(EKF) for estimating state variables, and modifies the recursive prediction error method for parameter estimation of the nonlinear system. Simulation results for both linear and nonlinear measurements under the environment of process and measurement noises show a convincing performance of the proposed algorithm.

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파라미터 수정을 사용한 형상변화 및 측정오차가 있는 빔의 모델개선 (Model Updating of Beams with Shape Change and Measurement Error Using Parameter Modification)

  • 윤병옥;최유근;장인식
    • 대한기계학회:학술대회논문집
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    • 대한기계학회 2001년도 춘계학술대회논문집B
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    • pp.335-340
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    • 2001
  • It is important to model the mechanical structure precisely and reasonably in predicting the dynamic characteristics, controlling the vibration, and designing the structure dynamics. In the finite element modeling, the errors can be contained from the physical parameters, the approximation of the boundary conditions, and the element modeling. From the dynamic test, more precise dynamic characteristics can be obtained. Model updating using parameter modification is appropriate when the design parameter is used to analyze the input parameter like finite element method. Finite element analysis for cantilever and simply supported beams with uniform area and shape change are carried out as model updating examples. Mass and stiffness matrices are updated by comparing test and analytical modal frequencies. The result shows that the updated frequencies become closer to the test frequencies.

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영구자석 동기 전동기의 제정수 오차가 센서리스 운전에 미치는 영향 (Effects of Parameter Errors on Sensorless Operation of PMSM)

  • 박용순;설승기;지준근;박영재;이동환
    • 전력전자학회논문지
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    • 제16권1호
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    • pp.71-78
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    • 2011
  • 본 논문에서는 영구자석 동기 전동기의 센서리스 운전에 있어, 제어에 사용되는 제정수의 오차가 각도 추정 성능에 미치는 영향을 분석하였다. 회전 자속의 위치를 추정하는데 사용되는 위치 오차 정보를 부호 요인과 이득 요인으로 나누어, 그 중에 각도 추정의 편차를 초래하는 부호 요인을 중심으로 제정수 오차가 각도 추정 성능에 미치는 영향을 분석하였다. 본 논문에서는 센서리스 제어에 사용되는 저항과 인덕턴스의 오차로 표현되는 각도 추정 편차의 함수를 수식적으로 도출하였고, 모의실험 및 실험을 통해 도출된 수식의 타당성을 검증하였다.

유도전동기의 회전자저항 변동 보상을 위한 슬립주파수의 적응 조정 (Slip Frequency Andative Tunning for the Compensation of Rotor Resistance Variation of Induction Motor)

  • 이일형;이윤종
    • 한국안전학회지
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    • 제9권4호
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    • pp.42-48
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    • 1994
  • A rotor flux error-based approach for correcting the rotor time constant estimation used in the slip frequency calculator of indirect field oriented controller is presented in this paper. The controller was derived from the d-q induction machine model. Slip frequency gain is dependent on the machine parameter errors. And parameter errors result in rotor flux error. Thus, estimated rotor flux is compared to commanded rotor flux. The error between them is used for the estimation of rotor time constant. Simulation results which demonstrate the performance of this approach are presented.

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Sensitivity and Error Propagation Factors for Three-Parameter Ellipsometry

  • Ihm, Hye-Ran;Chung, Gyu-Sung;Paik, Woon-Kie;Lee, Duck-Hwan
    • Bulletin of the Korean Chemical Society
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    • 제15권11호
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    • pp.976-980
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    • 1994
  • The sensitivity factors and the error propagation factors are defined for the three-parameter ellipsometry (TPE). The sensitivity factor is useful for understanding the nature of the TPE measurements in connection with determination of the optical properties and the thickness of a film. On the other hand, the error propagation factors provide a quantitative tool for predicting the optimum condition for TPE experiments. Their usefulness is demonstrated for the passive film formed on nickel in aqueous solution.

New approach to calculate Weibull parameters and comparison of wind potential of five cities of Pakistan

  • Ahmed Ali Rajput;Muhammad Daniyal;Muhammad Mustaqeem Zahid;Hasan Nafees;Misha Shafi;Zaheer Uddin
    • Advances in Energy Research
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    • 제8권2호
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    • pp.95-110
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    • 2022
  • Wind energy can be utilized for the generation of electricity, due to significant wind potential at different parts of the world, some countries have already been generating of electricity through wind. Pakistan is still well behind and has not yet made any appreciable effort for the same. The objective of this work was to add some new strategies to calculate Weibull parameters and assess wind energy potential. A new approach calculates Weibull parameters; we also developed an alternate formula to calculate shape parameters instead of the gamma function. We obtained k (shape parameter) and c (scale parameter) for two-parameter Weibull distribution using five statistical methods for five different cities in Pakistan. Maximum likelihood method, Modified Maximum likelihood Method, Method of Moment, Energy Pattern Method, Empirical Method, and have been to calculate and differentiate the values of (shape parameter) k and (scale parameter) c. The performance of these five methods is estimated using the Goodness-of-Fit Test, including root mean square error, mean absolute bias error, mean absolute percentage error, and chi-square error. The daily 10-minute average values of wind speed data (obtained from energydata.info) of different cities of Pakistan for the year 2016 are used to estimate the Weibull parameters. The study finds that Hyderabad city has the largest wind potential than Karachi, Quetta, Lahore, and Peshawar. Hyderabad and Karachi are two possible sites where wind turbines can produce reasonable electricity.

시뮬레이션 입력 모형화 : 확률분포 모수 추정을 위한 표본크기 결정 (Simulation Input Modeling : Sample Size Determination for Parameter Estimation of Probability Distributions)

  • 박성민
    • 한국경영과학회지
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    • 제31권1호
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    • pp.15-24
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    • 2006
  • In simulation input modeling, it is important to identify a probability distribution to represent the input process of interest. In this paper, an appropriate sample size is determined for parameter estimation associated with some typical probability distributions frequently encountered in simulation input modeling. For this purpose, a statistical measure is proposed to evaluate the effect of sample size on the precision as well as the accuracy related to the parameter estimation, square rooted mean square error to parameter ratio. Based on this evaluation measure, this sample size effect can be not only analyzed dimensionlessly against parameter's unit but also scaled regardless of parameter's magnitude. In the Monte Carlo simulation experiments, three continuous and one discrete probability distributions are investigated such as ; 1) exponential ; 2) gamma ; 3) normal ; and 4) poisson. The parameter's magnitudes tested are designed in order to represent distinct skewness respectively. Results show that ; 1) the evaluation measure drastically improves until the sample size approaches around 200 ; 2) up to the sample size about 400, the improvement continues but becomes ineffective ; and 3) plots of the evaluation measure have a similar plateau pattern beyond the sample size of 400. A case study with real datasets presents for verifying the experimental results.

Bayesian Estimation of Shape Parameter of Pareto Income Distribution Using LINEX Loss Function

  • Saxena, Sharad;Singh, Housila P.
    • Communications for Statistical Applications and Methods
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    • 제14권1호
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    • pp.33-55
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    • 2007
  • The economic world is full of patterns, many of which exert a profound influence over society and business. One of the most contentious is the distribution of wealth. Way back in 1897, an Italian engineer-turned-economist named Vilfredo Pareto discovered a pattern in the distribution of wealth that appears to be every bit as universal as the laws of thermodynamics or chemistry. The present paper proposes some Bayes estimators of shape parameter of Pareto income distribution in censored sampling. Asymmetric LINEX loss function has been considered to study the effects of overestimation and underestimation. For the prior distribution of the parameter involved a number of priors including one and two-parameter exponential, truncated Erlang and doubly truncated gamma have been contemplated to express the belief of the experimenter s/he has regarding the parameter. The estimators thus obtained have been compared theoretically and empirically with the corresponding estimators under squared error loss function, some of which were reported by Bhattacharya et al. (1999).

Estimation of the exponentiated half-logistic distribution based on multiply Type-I hybrid censoring

  • Jeon, Young Eun;Kang, Suk-Bok
    • Communications for Statistical Applications and Methods
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    • 제27권1호
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    • pp.47-64
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    • 2020
  • In this paper, we derive some estimators of the scale parameter of the exponentiated half-logistic distribution based on the multiply Type-I hybrid censoring scheme. We assume that the shape parameter λ is known. We obtain the maximum likelihood estimator of the scale parameter σ. The scale parameter is estimated by approximating the given likelihood function using two different Taylor series expansions since the likelihood equation is not explicitly solved. We also obtain Bayes estimators using prior distribution. To obtain the Bayes estimators, we use the squared error loss function and general entropy loss function (shape parameter q = -0.5, 1.0). We also derive interval estimation such as the asymptotic confidence interval, the credible interval, and the highest posterior density interval. Finally, we compare the proposed estimators in the sense of the mean squared error through Monte Carlo simulation. The average length of 95% intervals and the corresponding coverage probability are also obtained.

외란과 파라미터 변화를 고려한 직류 서어보 전공기 구동을 위한 강인성 제어기 (Robust Controller for DC Servo Motor drive taking Disturbance and Parameter Variations into account)

  • 윤병도;정탁희
    • 대한전기학회:학술대회논문집
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    • 대한전기학회 1988년도 추계학술대회 논문집 학회본부
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    • pp.418-421
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    • 1988
  • A disturbance and parameter variations cause a steady and/or transient error in the conventional de servo motor drive system. In this paper robust control system for dc servo motor drive taking disturbance and parameter variations into account is proposed. The proposed control system compensates rapidly the state error caused by disturbance and parameter variations. Simulation results show that the proposed method is robust for the steady and transient response in the presence of both disturance and parameter variations.

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