The IRMA Community
Newsletters
Research IRM
Click a keyword to search titles using our InfoSci-OnDemand powered search:
|
Electrical Motor Parameters Estimator Improved by a Computational Algorithm
Abstract
In this chapter, two computational algorithms are proposed and applied on an estimation algorithm, in order to improve the global performance of the estimation phase. The proposed system is studied based on the Model Reference Adaptive System (MRAS). The importance of the estimation phase in a large applications number is basically observed on the applications applied on electrical motors, where a lot number of parameters are measured with real measurement equipments, as Tesla Meter, speed shaft, and others. The idea is based generally on the software applications, where it is possible to guarantee the desired estimation phase using a software algorithm. In this chapter the MRAS technique is proposed as the software algorithm, for replacing the measurement materials for online estimate the overall characteristic PMSM parameters. Our approach aims to ameliorate the MRAS technique with intelligent optimization methods called BFO and PSO.
Related Content
Tanima Sahoo, Arijit Mondal, Piyal Roy, Amitava Podder.
© 2024.
20 pages.
|
Hüseyin Fatih Çetinkaya, Ali Fazıl Yenidünya, Serap Çetinkaya, Burak Tüzün.
© 2024.
15 pages.
|
Digvijay Pandey, Vinay Kumar Nassa, Binay Kumar Pandey, Blessy Thankachan, Pankaj Dadheech, Darshan A Mahajan, A. Shaji George.
© 2024.
22 pages.
|
Loutfy H. Madkour.
© 2024.
38 pages.
|
Loutfy H. Madkour.
© 2024.
50 pages.
|
Rita Komalasari.
© 2024.
25 pages.
|
Aakifa Shahul, Balakumar Muniandi, Mukundan Appadurai Paramashivan, Digvijay Pandey, Binay Kumar Pandey, Pankaj Dadheech, Hovan George.
© 2024.
14 pages.
|
|
|