Frequency domain transfer function identification using the computer program SYSFIT

Trudnowski, Daniel

doi:10.2172/6971318

Cited by 8 publications

(2 citation statements)

References 17 publications

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“…This provides a basis for selecting the model parameters. Using the information discussed in Section III-A and with considerable spectral analysis, frequency domain system identification [14] and trial-and-error, a fifth-order model was developed. This model was developed by matching its magnitude frequency response to the spectrum of a sample of error (taken from the PSD estimate) for a given hourly forecaster.…”

Section: A Hourly Predictormentioning

confidence: 99%

Real-time very short-term load prediction for power-system automatic generation control

Trudnowski

McReynolds

Johnson

2001

IEEE Trans. Contr. Syst. Technol.

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100

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A fundamental objective of a power-system operating and control scheme is to maintain a match between the system's overall real-power load and generation. The automatic generation control (AGC) loop addresses this objective by using system load and electrical frequency samples to periodically update the set-point power for key "swing" generators with a control sample rate ranging from 1 to 10 min. To improve performance, emerging AGC strategies employ a look-ahead control algorithm that requires real-time estimates of the system's future load out to several samples using a one to ten minute sample period (a total typical horizon of 30 to 120 min). We term this very short-term load prediction. This paper describes a strategy for developing a very short-term load predictor using slow and fast Kalman estimators and an hourly forecaster. The Kalman model parameters are determined by matching the frequency response of the estimator to the load residuals. The design strategy is applied to the system operated by the Bonneville Power Administration and specific performance and sensitivity studies are presented.

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Section: A Hourly Predictormentioning

confidence: 99%

Real-time very short-term load prediction for power-system automatic generation control

Trudnowski

McReynolds

Johnson

2001

IEEE Trans. Contr. Syst. Technol.

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100

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“…The models identified models were used to construct a damping controller. Several step and frequency response signals were applied to the system under different configurations, and a set of system models was identified using Prony analysis (Pierre et al 1992) and frequency domain techniques (Trudnowski 1992).…”

Section: Inertial Force Active Damping Controller Designmentioning

confidence: 99%

Structural vibration control of micro/macro-manipulator using feedforward and feedback approaches

Lew

Cannon²,

Magee³

et al. 1995

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Pacific Northwest Laboratory (PNL) researchers investigated the combined use of two control approaches to minimize micro/macro-manipulator structural vibration: 1) modified input shaping and 2) inertial force active damping control. Modified input shaping (MIS) is used as a feedforward controller to modify reference input by canceling the vibratory motion. Inertial force active damping (IFAD) is applied as a feedback controller to increase the system damping and robustness to unexpected disturbances.Researchers implemented both control schemes in the PNL micro/macro flexible-link manipulator testbed collaborating with Georgia Institute of Technology. The experiments successfully demonstrated the effectiveness of two control approaches in reducing structural vibration.

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Vibration control of a micro/macro-manipulator system

1996

IEEE Control Syst.

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Frequency domain transfer function identification using the computer program SYSFIT

Cited by 8 publications

References 17 publications

Real-time very short-term load prediction for power-system automatic generation control

Real-time very short-term load prediction for power-system automatic generation control

Structural vibration control of micro/macro-manipulator using feedforward and feedback approaches

Vibration control of a micro/macro-manipulator system

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