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.
Permanent magnet synchronous motors (PMSM) are widely used in high performance applications. Accurate PMSM model is very important to advanced control system designs. However, the identification of PMSM parameters is very difficult due to the model complexity. In our previous paper, we proposed a particle swarm optimization (PSO) based parameter identification algorithm. In that paper, it has been...
Particle swarm optimization (PSO) is a relative new evolutionary computation technique. The algorithm is theoretically simple, and computationally efficient. In the past decade, PSO has been widely applied to different problems. In this paper, we present our work on the application of PSO to four problems related to power systems, machine, and power electronics. The four problems are power system...
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.