Proceedings of the ISCIE International Symposium on Stochastic Systems Theory and its Applications
Online ISSN : 2188-4749
Print ISSN : 2188-4730
第33回ISCIE「確率システム理論と応用」国際シンポジウム(2001年10月, 栃木)
NEURAL NETWORK SPEED CONTROLLER OF A DC MOTOR SUPPLIED FROM PHOTOVOLTAIC GENERATOR VIA DC-DC BUCK-BOOST CONVERTER
Ahmed HusseinJinglu HuKotaro HirasawaJunichi Murata
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2002 年 2002 巻 p. 111-116

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This paper presents an Adaptive Neural Network Controller (ANNC) to control the speed of a photovoltaic (PV) supplied, separately excited dc motor driving a centrifugal pump load. The ANNC is also used to track the maximum power point (MPP) of the PV generator by controlling the converter duty ratio D. Since the controller has two tasks, then two objective functions must be existed. But to make the design of the controller easy and simple, the objective function related to the MPP is converted as a constrained to the other objective function by approximating some parts in the system. An Adaptive Neural Network Identifier (ANNI) is used to compute the system Jacobian, which is used to update the weights and biases of the ANNC. Both of the ANNC and the ANNI are trained on line using the BP algorithm with adaptive learning rate. Simulation results of the motor speed, current and voltage at steady sate operation are obtained for a step change in the insolation and reference speed (ωref) by two different cases depending on the calculation of the system Jacobian.
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© 2002 ISCIE Symposium on Stochastic Systems Theory and Its Applications
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