Abstract
This paper presents a novel design optimization procedure for an ultra large diameter permanent magnet generator. As the machine features unorthodox electromagnetic and mechanical layouts, basic principles for determining structural loads together with material quantities for cost estimation are described. Finite element modelling with beam elements is used for retrieving stresses and deformations of the novel carrier structure. Mathematical system response model of the generator is created with artificial neural networks, while genetic algorithm with gradient method is utilized for determining the optimal solutions. Input dataset for the model build-up is constructed with a help of a full factorial experimental method. Achieved results are utilized for describing the relationship between the structural response and efficiency values of the generator. As the design of the machine has to fulfil contradicting technical and economical requirements, Pareto optimality concept is employed. As an example, a set of optimal solutions is determined for the particular case.DOI: http://dx.doi.org/10.5755/j01.eee.21.3.10278
Highlights
Central issue in the development of wind energy conversion systems has been scaling up to higher turbine capacities and bigger rotor diameters [1]
Design activities regarding an electrical generator extend throughout different disciplines, including electromagnetic and structural engineering
In engineering process commonly certain Finite element modelling (FEM), design of experiments (DOE), optimization and evaluation blocks are utilized to reach a qualified decision regarding the effectiveness of the design
Summary
Central issue in the development of wind energy conversion systems has been scaling up to higher turbine capacities and bigger rotor diameters [1]. More effort and innovation has been put into developing optimal solutions for subcomponents of wind turbines in order to comply with increasing technical and commercial requirements [2]. One of the favourite topics for analysis has become the layout of the electrical generator in terms of increasing its energy density and decreasing cost [3]. Various electromagnetic topology options have been presented and researchers have developed deterministic and probabilistic methods for prediction of structural properties including mass and overall dimensions [4], [5]. For example the price of active materials has been in general declining and its influence in determining the end cost of generators has become less
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