ANN based peak power tracking for PV supplied DC motors.

Dutta, Chiranjeeb and Biswal, Manoja Kumar and Rajput, Deepak Singh (2009) ANN based peak power tracking for PV supplied DC motors. BTech thesis.



The report presents an application of an Artificial Neural Network(ANN) for the identification of the optimal operating point of a PV supplied separately excited dc motor driving two different load torques. A gradient descent algorithm is used to train the ANN controller for the identification of the maximum power point of the Solar Cell Array (SCA) a gross mechanical energy operation of the combined system. The algorithm is developed based on matching of the SCA to the motor load through a buck-boost power converter so that the combined system can operate at the optimum point. The input parameter to the neural network is solar insulation and the output parameter is the converter chopping ratio corresponding to the maximum power output of the SCA or gross mechanical energy output of the combined PV system. The converter chopping ratios at different solar insulations are obtained from the ANN controller for two different load torques and are compared with computed values.

Item Type:Thesis (BTech)
Uncontrolled Keywords:DC Motors, Power Tracking, ANN
Subjects:Engineering and Technology > Electrical Communications
Divisions: Engineering and Technology > Department of Electrical Engineering
ID Code:1155
Deposited By:Chiranjeeb Dutta
Deposited On:16 May 2009 15:46
Last Modified:16 May 2009 15:46
Supervisor(s):Subudhi, B D

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