The Infona portal uses cookies, i.e. strings of text saved by a browser on the user's device. The portal can access those files and use them to remember the user's data, such as their chosen settings (screen view, interface language, etc.), or their login data. By using the Infona portal the user accepts automatic saving and using this information for portal operation purposes. More information on the subject can be found in the Privacy Policy and Terms of Service. By closing this window the user confirms that they have read the information on cookie usage, and they accept the privacy policy and the way cookies are used by the portal. You can change the cookie settings in your browser.
This study uses formal mathematical optimization techniques based on parametric computationally-efficient models and differential evolution algorithms. For constant-power applications, in the novel approach described, three concurrent objective functions are minimized: material cost, losses, in order to ensure high efficiency, and the difference between the rated and the characteristic current, aiming...
In this paper, a robust parametric model of a brushless (BL) permanent magnet (PM) machine with fractional-slot concentrated windings (FSCW), which was developed for automated design optimization is presented. A computationally efficient-finite element analysis (CE-FEA) method was employed to estimate the dq-axes inductances, the induced voltage and torque ripple waveforms, and losses of the machine...
Set the date range to filter the displayed results. You can set a starting date, ending date or both. You can enter the dates manually or choose them from the calendar.