Optimization of electric motor for a solar airplane application
This paper presents a method to model and optimize brushless dc motor for a solar airplane. In order to obtain the optimal solution for the given specifications, all free parameters are analyzed globally in one go. For this, the commercial optimization software Pro@Design is used. The method is fully analytical and deterministic. The actual multiphysic model comprises electromagnetic, thermal, and propeller models. Different results of the design of solar airplane motor using this method are presented
Weight optimization of a machine for airborne wind turbines
This paper details the weight optimization of the electrical machine required for an Airborne Wind Turbine (AWT) system. Presented investigations include the analysis of the power-to-weight ratio versus efficiency limits, γ-η Pareto fronts, of radial and axial flux machine topologies, by making use of analytical models, describing the electromagnetic and thermal behaviour. A direct search method is employed rather than a cost function minimization algorithm, as the analytical models allow the evaluation of the whole design space in a computationally efficient manner. The results reveal that the best performance in this case is achieved with a radial flux machine with an internal rotor where the magnets are arranged in a Halbach configuration. Including the weight of electromagnetically inactive parts, such as bearings, shaft and housing, a power-to-weight ratio of γ ≈ 6.2 kW/kg (2.8 kW/lb), at an efficiency of η ≈ 96 %, and a rated speed of 3200 r/min is achieved.
Linear reluctant transducer for vibrator application
This paper presents a solution to design a linear reluctant transducer characterized by a quasi-linear force versus the displacement and to simplify the electronic supply as well as the control. The model, the verification by a finite element simulation and an application as a vibrator generation system are developed. >