Gradient-based Multi-objective Design Optimisation Formulation of Grid-connected Wound-rotor Induction Motors

摘要

In this paper, a gradient-based multi-objective optimisation of the grid-connected wound-rotor induction motor is achieved by using quality modelling and a computationally efficient procedure. The procedure combines two objective functions, namely torque and efficiency, into a single-objective function of a sum of squared residual errors. It is shown that using the proposed computationally efficient optimisation method greatly improves the torque and efficiency of the motor, which is shown to also come with a good power factor. The obtained optimum solution is reliable, as the accuracy of the motor performance model has been validated by experimental test results. The optimisation method can be applied to a many-to-single objective function design optimisation, and thus overall represents a beneficial to electrical machine optimisation.