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This paper introduces, explains and illustrates real-life application of virtual training tool for electrical engineering education. The tool gives users the opportunity to interact with and manipulate 3D models of authentic devices. The users have a possibility to compare structural differences between devices, assemble and disassemble the machines and test them under extreme conditions, all of which would not be possible while working with a real device. The 3D devices are fully operational allowing the users to interact with them on every level, including analysis of impact of supply conditions i.e. modify voltage and frequency of a particular motor and monitor changes in performance while still operating. The main goal of this research was to evaluate effectiveness and educational values of the proposed tool. Early studies and feedback from educators and students prove this tool to be a great assistance to process of education, facilitating knowledge acquisition and providing an innovative way to put theory into practice.

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Purpose -The application of the analysed permanent magnet disc motor (PMDM) is in electric vehicle and therefore there are several objectives that could be tackled in the design procedure, such as an increased efficiency, reduced total weight of the motor or increased power/weight ratio (specific power). The purpose of this paper is to perform an optimal design of a PMDM using specific power as objective function. In the design procedure performed on the PMDM, genetic algorithm (GA), as an optimisation tool is used. Design/methodology/approach -The created optimal design programme genetic algorithm for optimal design of electrical machines is using the GA as an optimisation tool. According to the design characteristics of PMDM, some of the parameters are chosen to be constant and some variable. A comparative analysis of both motor models based on the values of some specific parameters is performed. Findings -From the comparative data analysis of both motor models, it can be concluded that the main objective of the optimisation is realised, and that is achieved by a reduction of the total weight of the motor, as well as the increase of the torque, as a result of which the specific power is increased. Originality/value -An optimisation technique based on GAs has been developed and applied to the design of a PMDM. According to the results investigated above, it can be concluded that the GA is a very suitable tool for design optimisation of PMDM and electromagnetic devices in general. The quality of the GA optimised model has been proved through the data analysis of the prototype and optimised solution. At the end, the quality of the GA solution has been again proved by comparative analysis of the two motor models using FEM as a performance analysis tool.

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