Effects of forced power transfer on high speed generator-load systems

Arkadan, A.A.; VanderHeiden, R.H.; Defenbaugh, J.F.

doi:10.1109/60.507645

Cited by 5 publications

(3 citation statements)

References 6 publications

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“…In addition, it divides each range into three equal intervals or levels designated as: 1) 1 for minimum; 2) 2 for medium; and 3) 3 for maximum. In this paper, the following ranges are used for the parameters: 1) P1 [4][5][6][7][8][9][10][11][12]; 2) P2 [3][4][5][6] The Taguchi array used in this paper consists of 18 combinations or categories [7], as shown in Table I. In addition, five trial particles or design vector values are used for a category.…”

Section: A Taguchi Oa Methodsmentioning

confidence: 99%

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EM-Taguchi Module for Characterization of WAD

2015

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Accurate performance characterization is critical in a design optimization environment. The electromagnetic (EM) design optimization of an ocean wave linear generator buoy or wave activated device (WAD) requires the use of large number of finite element-state space, design evaluations due to the stochastic behavior of the wave and the nonlinear nature of the device. This paper proposes the utilization of Taguchi orthogonal arrays method to reduce the EM, computational time needed to accurately characterize a WAD performance corresponding to a sea wave profile and for use in a design optimization environment.

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Section: A Taguchi Oa Methodsmentioning

confidence: 99%

“…3. The 2-D FE field solutions are used to compute the device windings inductances [5]. Next, the field is moved an increment, z, to a new position and the task is repeated to cover a complete ac cycle.…”

Section: Wad Linear Generator Em Modulementioning

confidence: 99%

EM-Taguchi Module for Characterization of WAD

2015

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“…1. Earlier works employed Finite Element-State Space, FE-SS, models to predict the performance characteristics of such standalone systems during NBPT mode of operation [1]. However, this approach required extensive computational time.…”

Section: Introduction I Introductionmentioning

confidence: 99%

Characterization of Stand Alone AC Generators during No-Break Power Transfer using AI-EM Based Approach

Arkadan

Aawar

Abou-Samra

2006 12th Biennial IEEE Conference on Electromagnetic Field Computation

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This paper describes the use of Artificial Intelligence, -Electromagnetic, AI-EM modeling approach for the performance prediction of stand alone synchronous generators during power transfer. This approach uses Radial Basis Function, RBF, based data mining algorithm to evaluate the stresses accompanying the No Break Power Transfer, NBPT. This mode of operation may result in the failure of the diodes in the rotating rectifier bridge of the brushless field exciter. The modeling approach is applied in a case study of a two standalone synchronous generators system. This resulted in the prediction of the system performance characteristics including the peak currents and reverse voltages of the rotating diodes. The simulation results were validated by comparison to experimental data.Abstract-This paper describes the use of Artificial Intelligence, -Electromagnetic, AI-EM modeling approach for the performance prediction of stand alone synchronous generators during power transfer. This approach uses Radial Basis Function, RBF, based data mining algorithm to evaluate the stresses accompanying the No Break Power Transfer, NBPT. This mode of operation may result in the failure of the diodes in the rotating rectifier bridge of the brushless field exciter. The modeling approach is applied in a case study of a two standalone synchronous generators system. This resulted in the prediction of the system performance characteristics including the peak currents and reverse voltages of the rotating diodes. The simulation results were validated by comparison to experimental data.

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Optimal Control Strategy for Hybrid Electric Vehicle Powertrain

Al-Aawar

Arkadan

2015

IEEE J. Emerg. Sel. Topics Power Electron.

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Effects of forced power transfer on high speed generator-load systems

Cited by 5 publications

References 6 publications

EM-Taguchi Module for Characterization of WAD

EM-Taguchi Module for Characterization of WAD

Characterization of Stand Alone AC Generators during No-Break Power Transfer using AI-EM Based Approach

Optimal Control Strategy for Hybrid Electric Vehicle Powertrain

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