Gradient based optimization of Permanent Magnet generator design for a tidal turbine

Røkke, Astrid

doi:10.1109/icelmach.2014.6960334

Cited by 5 publications

(2 citation statements)

References 20 publications

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“…In [3], all geometric parameters except the air-gap length are free variables, in addition to the current density. The design is limited by constraints on the efficiency, power factor, and the flux densities in the stator and rotor yokes and the stator teeth.…”

Section: A Iron Yoke Flux Predictionmentioning

confidence: 99%

Analytical Calculation of Yoke Flux Patterns in Fractional-Slot Permanent Magnet Machines

Røkke

Nilssen

2017

IEEE Trans. Magn.

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Machine design problems are often solved under the assumption of no-load when calculating iron flux densities. However, it is particularly important to account for the fluxes from the stator currents, the armature reaction, in fractional-slot machines. The fluxes from the permanent magnets and the armature reaction both vary in time with the electrical frequency. By studying the flux that flows along the stator yoke behind every slot in such a machine, it is revealed that the armature reaction flux does not have the same amplitude behind all slots. In addition, it is revealed that the time-varying no-load and armature reaction fluxes are shifted in time, with different phase shifts behind different slots. The sum of the no-load and armature reaction fluxes, namely, the load flux, depends on both the amplitudes of the fluxes and the phase shift between them. The resulting load flux behind each slot varies significantly. In four investigated machines, the ratio of the highest to the lowest load flux amplitude ranges between 1.6 and 6. The load flux can be significantly higher than the no-load flux. The flux calculations are verified through finite-element analysis in all four machines, and the error in the maximum load flux ranges between 2% and 6%.

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Section: A Iron Yoke Flux Predictionmentioning

confidence: 99%

Analytical Calculation of Yoke Flux Patterns in Fractional-Slot Permanent Magnet Machines

Røkke

Nilssen

2017

IEEE Trans. Magn.

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“…Based on the design requirements, the functions Equations (32)- (34) are derived from the model of the investigated electromagnetic device. In this paper, the chosen optimization algorithm is the interior-point method [15] that can deal with nonlinear constraints and known for its speed and robustness [16].…”

Section: Definition Of Optimization Problem Statementsmentioning

confidence: 99%

Modeling and Design Optimization of A Shaft-Coupled Motor and Magnetic Gear

2016

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This paper presents the modeling and design of an actuator consisting of an electrical motor and a magnetic gear. To minimize the overall actuator dimensions, both of the electromagnetic devices need to be optimally designed and matched. An issue in performing a simultaneous design as such arises from a high number of design variables that significantly increases the complexity of the optimization problem. A method to reduce the design variables is discussed in this paper, which is the application of response surface methodology (RSM) to represent the optimized torques of the electrical motor and magnetic gear as polynomial functions of their respective dimensions. Prior to the application of RSM, optimization problem statements are defined for the electrical motor and magnetic gear, for which the optimization objective and constraint functions are derived from analytical electromagnetic models of the considered electromagnetic devices.

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Evaluating hybrid optimization algorithms for design of a permanent magnet generator

Engevik

Røkke

Nilssen

2015

2015 Intl Aegean Conference on Electrical Machines &Amp; Power Electronics (ACEMP), 2015 Intl Conference on Optimization of Ele

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Gradient based optimization of Permanent Magnet generator design for a tidal turbine

Cited by 5 publications

References 20 publications

Analytical Calculation of Yoke Flux Patterns in Fractional-Slot Permanent Magnet Machines

Analytical Calculation of Yoke Flux Patterns in Fractional-Slot Permanent Magnet Machines

Modeling and Design Optimization of A Shaft-Coupled Motor and Magnetic Gear

Evaluating hybrid optimization algorithms for design of a permanent magnet generator

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