Neural network estimation of balance control during locomotion

2005 ◽  
Vol 38 (4) ◽  
pp. 717-724 ◽  
Author(s):  
Michael E. Hahn ◽  
Arthur M. Farley ◽  
Victor Lin ◽  
Li-Shan Chou
Keyword(s):  
Neural Network ◽  
Balance Control ◽  
Network Estimation

Maximum Wind Energy Extraction by Using Neural Network Estimation and Predictive Control of Boost Converter

2018 ◽  
Vol 7 (1) ◽  
pp. 59 ◽  
Author(s):  
Mahdi Heidari
Keyword(s):  
Neural Network ◽  
Wind Energy ◽  
Synchronous Generator ◽  
Maximum Energy ◽  
Boost Converter ◽  
Energy Extraction ◽  
Permanent Magnet Synchronous Generator ◽  
Predictive Controller ◽  
Network Estimation ◽  
Artificial Neural Network Ann

This paper proposes a new method to extract maximum energy from wind turbine systems. The artificial neural network (ANN) is used to estimate the wind speed based on the rotor speed and the output power. In addition to ANN, a predictive controller is used to maximize the efficiency of the boost converter. The method has been developed and analyzed by utilizing a turbine directly driven permanent-magnet synchronous generator (PMSG). The simulation results verify the performance of the proposed method. Results show that this method maximizes wind energy extraction with more accuracy and fastness.

Neural network estimation of photovoltaic I–V curves under partially shaded conditions

2011 ◽  
Author(s):  
Jacques A. Dolan ◽  
Ritchie Lee ◽  
Yoo-Hsiu Yeh ◽  
Chiping Yeh ◽  
Daniel Y. Nguyen ◽  
...  
Keyword(s):  
Neural Network ◽  
Network Estimation
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