Design of electric machinery using population-based optimization requires a highly computationally efficient means of predicting the field distribution as well as the lumped-circuit model parameters. This paper proposes and validates a relatively straight- forward analysis appropriate to this end.

Design of electric machinery using population-based optimization requires a highly computationally efficient means of predicting the field distribution as well as the lumped-circuit model parameters. This paper proposes and validates a relatively straightforward analysis appropriate to this end.

Permanent-magnet synchronous machines can be designed to obtain high efficiency and high torque density. Population-based optimization methods such as genetic algorithms and particle swarm optimization are gaining acceptance as a means of optimizing the design of this class of machines. This paper builds on the literature by utilizing a computationally efficient machine analysis appropriate for use with population-based optimization methods that enables the consideration of a significantly larger search space than previously reported in the literature. It is also unique in that the relative performance of different parameter encoding and objective function formulations are considered.

Evolutionary design refers to the use of evolutionary computing methods in the design process. Normally, this entails the formulization of the design problem as an optimization problem, which is solved using evolutionary techniques such as a genetic algorithm or particle swarm optimization. This paper provides three examples in the use of this highly effective method to the design of electromagnetic and electromechanical devices.

Pulsed power weaponry is being considered for inclusion in future warships. In this work, the effects of pulsed power weaponry on a power distribution and propulsion system are demonstrated in the context of a physical system known as the naval combat survivability testbed. It is shown that, as expected, when using an integrated fight through power (IFTP) architecture, the pulsed power load results in a disturbance on the generation ac bus; but it has no effect on the zonal ac busses. The use of propulsion coordination is also investigated.

An accurate and numerically efficient method of calculating semiconductor losses in drive systems is set forth. In the proposed approach, switching events are modeled by idealized voltage and current waveforms that yield the appropriate switching energy loss. The waveforms are specifically designed to allow for large time steps, thus retaining the computational efficiency of conventional ideal-switch time-domain simulations often used for system studies

Permanent magnet synchronous machines can be designed to obtain high efficiency and high torque density. Recently, there has been intense interest in the use of genetic algorithms (GAs) to design either part or all of the machine. In this work a highly structured approach to PMSM design which encompasses the machine and the machine control is considered. The number of parameters to be determined is over twice that of most previous work. The procedure set forth is explored for both single and multi-objective optimizations

In this paper, the design of switching modulators that provide gating signals to the semiconductor devices in a power electronics converter is addressed. Specifically, modulators for permanent magnet synchronous machine drives are considered. Both current source-based and voltage source-based modulators may be used in a current-regulated drive application. The choice of the class of modulator, the specific type of modulator, and the parameters of the modulator and control constitute a significant design problem. Performance metrics to assess the quality of a design are set forth. They are used in conjunction with a genetic algorithm to automatically select the class, type, and parameters of the modulator