The Experts below are selected from a list of 306 Experts worldwide ranked by ideXlab platform

Junichi Mano - One of the best experts on this subject based on the ideXlab platform.

J. Ishii - One of the best experts on this subject based on the ideXlab platform.

H.m. Al-hamadi - One of the best experts on this subject based on the ideXlab platform.

  • Fuzzy logic Voltage flicker estimation using Kalman filter
    International Journal of Electrical Power & Energy Systems, 2012
    Co-Authors: H.m. Al-hamadi
    Abstract:

    Abstract Accurate tracking and estimation of the Voltage flicker levels is important for effective design and implementations of Voltage mitigation devices. This paper presents tracking and estimation technique for the Instantaneous Voltage flicker magnitude, frequency and phase using Kalman filtering. The approach is based on expressing Voltage flicker as a discrete time linear dynamic system model with flicker parameters as the system parameters. An extended state space model is adapted for Kalman filter to estimate the parameters. Fuzzy rule-based logic is used to tune up the system and the measurement noise levels by adjusting their covariance matrices using flicker measurements.

Takashi Sato - One of the best experts on this subject based on the ideXlab platform.

Mihai Comanescu - One of the best experts on this subject based on the ideXlab platform.

  • Instantaneous Voltage measurement technique for pwm Voltage source inverters
    International Journal of Power Electronics, 2008
    Co-Authors: Todd D Batzel, Mihai Comanescu
    Abstract:

    The pulse width modulated (PWM) Voltage source inverter (VSI) is almost universally used in industrial motor drives. Although measurement of the VSI output Voltage is required in many applications, accurate measurement is problematic due to the high frequency inverter switching. Many commonly used inverter output Voltage measurement methods, such as indirect and direct Voltage measurement, produce inaccurate results under a variety of operating conditions. In this paper, the common sources of Voltage measurement error are identified and an Instantaneous Voltage measurement technique is presented that significantly reduces inaccuracies introduced by common Voltage measurement strategies. Implementation details of the proposed strategy are outlined and experimental results are used to compare the proposed technique with other methods of inverter output Voltage measurement. The results demonstrate the opportunity for improvements to any inverter-driven motor control system that requires precise terminal Voltage measurements to carry out the intended control objective.

  • Instantaneous Voltage measurement in PWM Voltage source inverters
    2007 International Aegean Conference on Electrical Machines and Power Electronics, 2007
    Co-Authors: Todd D Batzel, Mihai Comanescu
    Abstract:

    The use of pulse width modulated (PWM) inverters is nearly universal in industrial drives, making accurate Voltage measurements problematic due to the switching nature of the applied phase Voltage. Often, the applied phase Voltage is reconstructed by using a combination of the DC link Voltage and the commanded PWM duty cycle. Another approach is to apply a low-pass filter to the phase Voltage to remove the high frequency PWM switching component, but leaving the fundamental component of interest. In this paper, a strategy for detecting the Instantaneous phase Voltage is presented. The approach consists of integrating the switched phase Voltage over either a full, or half PWM cycle. The integrated signal is then converted to Voltage by dividing by the integrating period. Implementation details of the proposed approach are outlined in the paper, and experimental results are used to compare the proposed technique with other methods of Voltage measurement in terms of measurement accuracy and transient performance. The results will demonstrate the opportunity for improvements to any inverter-driven motor control system that relies on accurate terminal Voltage measurement to estimate internal machine states.