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.
Mohammed,M Faeq. (2019). Artificial Intelligent Control of Permanent Magnet Synchronous Generator Based Wind Energy Conversion System. Kirkuk Journal of Science, 14(2), 36-52. doi: 10.32894/kujss.2019.14.2.3
MLA
Mohammed,M Faeq. "Artificial Intelligent Control of Permanent Magnet Synchronous Generator Based Wind Energy Conversion System", Kirkuk Journal of Science, 14, 2, 2019, 36-52. doi: 10.32894/kujss.2019.14.2.3
HARVARD
Mohammed M Faeq. (2019). 'Artificial Intelligent Control of Permanent Magnet Synchronous Generator Based Wind Energy Conversion System', Kirkuk Journal of Science, 14(2), pp. 36-52. doi: 10.32894/kujss.2019.14.2.3
CHICAGO
M Faeq Mohammed, "Artificial Intelligent Control of Permanent Magnet Synchronous Generator Based Wind Energy Conversion System," Kirkuk Journal of Science, 14 2 (2019): 36-52, doi: 10.32894/kujss.2019.14.2.3
VANCOUVER
Mohammed M Faeq. Artificial Intelligent Control of Permanent Magnet Synchronous Generator Based Wind Energy Conversion System. Kirkuk J. Sci.. 2019;14(2):36-52. doi: 10.32894/kujss.2019.14.2.3
