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Artificial Intelligent Control of Permanent Magnet Synchronous Generator Based Wind Energy Conversion System

    Maher Faeq Mohammed

Kirkuk University Journal-Scientific Studies, 2019, Volume 14, Issue 2, Pages 36-52
10.32894/kujss.2019.14.2.3

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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
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(2019). Artificial Intelligent Control of Permanent Magnet Synchronous Generator Based Wind Energy Conversion System. Kirkuk University Journal-Scientific Studies, 14(2), 36-52. doi: 10.32894/kujss.2019.14.2.3
Maher Faeq Mohammed. "Artificial Intelligent Control of Permanent Magnet Synchronous Generator Based Wind Energy Conversion System". Kirkuk University Journal-Scientific Studies, 14, 2, 2019, 36-52. doi: 10.32894/kujss.2019.14.2.3
(2019). 'Artificial Intelligent Control of Permanent Magnet Synchronous Generator Based Wind Energy Conversion System', Kirkuk University Journal-Scientific Studies, 14(2), pp. 36-52. doi: 10.32894/kujss.2019.14.2.3
Artificial Intelligent Control of Permanent Magnet Synchronous Generator Based Wind Energy Conversion System. Kirkuk University Journal-Scientific Studies, 2019; 14(2): 36-52. doi: 10.32894/kujss.2019.14.2.3
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