Wind Turbine Driving a PM Synchronous Generator Using Novel Recurrent Chebyshev Neural Network Control with the Ideal Learning Rate
A permanent magnet (PM) synchronous generator system driven by wind turbine (WT), connected with smart grid via AC-DC converter and DC-AC converter, are controlled by the novel recurrent Chebyshev neural network (NN) and amended particle swarm optimization (PSO) to regulate output power and output v...
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| Format: | Article |
| Language: | English |
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MDPI AG
2016-06-01
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| Series: | Energies |
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| Online Access: | http://www.mdpi.com/1996-1073/9/6/441 |