2003
DOI: 10.1109/tmag.2002.806412
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Assessment of losses in the field coil of the compulsator under dynamic conditions

Abstract: Abstract--Air core compensated pulsed alternators are being developed as compact power supplies for tactical electromagnetic gun systems. The field coil of the compensated pulsed alternator is a critical component that establishes the excitation magnetic field. Since the machine is air cored the number of ampere-turns required from the field coil are significant, especially considering that the excitation flux density near the armature is typically in the range of about 3 T to 4 T and that near the field condu… Show more

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Cited by 11 publications
(2 citation statements)
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“…The air-core pulsed alternator has been studied for more than three decades [2], [3]. However, its optimized design theories are still rarely reported [4], [5]. The performance of the air-core pulsed alternator-based pulsedpower system is often closely associated with the electrical machine parameters, the system structure, and the load requirements [6].…”
Section: Introductionmentioning
confidence: 99%
“…The air-core pulsed alternator has been studied for more than three decades [2], [3]. However, its optimized design theories are still rarely reported [4], [5]. The performance of the air-core pulsed alternator-based pulsedpower system is often closely associated with the electrical machine parameters, the system structure, and the load requirements [6].…”
Section: Introductionmentioning
confidence: 99%
“…A change of variables for the rotor variables offers no advantage; however, a change of variables is beneficial to the stator variables. Because of the complexity of the PCPA, we use standard Park's transformation [14]- [17], which is often used in the analysis of rotating machines to transform the six-phase system (labeled a, b, c, and d for the four phases, labeled s1 and s2 for the compensation device) variables associated with the PCPA (e.g., current and voltage) into direct-quadrature (DQ) variables. Simulations using DQ models are often more computationally efficient 0093-3813 © 2015 IEEE.…”
mentioning
confidence: 99%