Title :
Adaptive controller for PV supplied buck-boost converter
Author :
Narri, Y. ; Mummadi, V.
Author_Institution :
Dept. of Electr. Eng., Jawaharlal Nehru Technol. Univ., Hyderabad, India
Abstract :
An adaptive controller using ANNs is designed for gross mechanical power output. The controller algorithm is developed by the matching the SCA to the motor load so that the combined system can operate at optimal point. This controller is for use in conjunction with intermediate power converter. The gradient descent algorithm is used to train the ANN. The input to the ANN is solar insolation and the output is converter duty ratio. The duty ratios for different solar insolations are obtained from the trained ANN are compared with computed values. The adaptive controller using ANN is tested for different configurations and the results are close to the computed values.
Keywords :
DC-DC power convertors; adaptive control; control system synthesis; learning (artificial intelligence); neurocontrollers; photovoltaic power systems; power system control; PV supplied buck-boost converter; adaptive controller; artificial neural networks; controller algorithm; converter duty ratio; gradient descent algorithm; gross mechanical power output; solar insolation; training; Adaptive control; Artificial neural networks; Character generation; DC generators; DC motors; DC-DC power converters; Power generation; Programmable control; Solar power generation; Voltage;
Conference_Titel :
Power Electronics and Drive Systems, 1999. PEDS '99. Proceedings of the IEEE 1999 International Conference on
Conference_Location :
Hong Kong
Print_ISBN :
0-7803-5769-8
DOI :
10.1109/PEDS.1999.792806
