Artificial Intelligent Control of Permanent Magnet Synchronous Generator Based Wind Energy Conversion System | ||
| Kirkuk Journal of Science | ||
| Article 1, Volume 14, Issue 2, June 2019, Pages 36-52 PDF (878.2 K) | ||
| Document Type: Research Paper | ||
| DOI: 10.32894/kujss.2019.14.2.3 | ||
| Author | ||
| Maher Faeq Mohammed* | ||
| Department of Electronic and Control, Technical College of Kirkuk, North Technical University, Kirkuk, Iraq. | ||
| Abstract | ||
| In this work new maximum power extracted architecture is proposed for wind turbine generator. Adaptive network based fuzzy inference system (ANFIS) is used to precisely estimate the rotor angle and speed which is necessary for vector control in order to forces the generator to track maximum power using variable speed operation generator. In this algorithm the separate control of the torque from the flux make the control of a generator operation with variable speed more efficient. The ANFIS network is trained off line from the normal operation of the permanent magnet generator. | ||
| Keywords | ||
| Artificial intelligent; Permanent magnet; Synchronous generator; Wind Energy | ||
|
Statistics Article View: 338 PDF Download: 275 |
||