Open Access. Powered by Scholars. Published by Universities.®
Articles 1 - 3 of 3
Full-Text Articles in Engineering
Design And Implementation Of A Neural Network Controller For Real-Time Adaptive Voltage Regulation, Xiao-Hua Yu, Weiming Li, N. F. N. Taufik
Design And Implementation Of A Neural Network Controller For Real-Time Adaptive Voltage Regulation, Xiao-Hua Yu, Weiming Li, N. F. N. Taufik
Electrical Engineering
An adaptive controller based on multi-layer feed-forward neural network is developed for real-time voltage regulation of a class of PSFB (phase-shifted full-bridge) DC–DC converters. The controller has the unique advantages of nonlinear mapping and adaptive learning, and performs well over a wide range of input voltages and output load currents. The controller is implemented and tested in hardware using a DSP (digital signal processor) board. Experimental results show that it outperforms conventional controllers in both line regulation and load regulation.
Optimize Neural Network Controller Design Using Genetic Algorithm, Ariel Kopel, Xiao-Hua Yu
Optimize Neural Network Controller Design Using Genetic Algorithm, Ariel Kopel, Xiao-Hua Yu
Electrical Engineering
The size of a neural network must be predetermined before it can be trained for any application. Choosing the correct size of a neural network can increase its speed of response and thus improve the performance of the overall system. In this paper, a genetic algorithm is employed to find the optimal number of connections of a neural network controller which is used to regulate a class of DC power supplies. Satisfactory computer simulation results are obtained.
Improving Dc Power Supply Efficiency With Neural Network Controller, Weiming Li, Xiao-Hua Yu
Improving Dc Power Supply Efficiency With Neural Network Controller, Weiming Li, Xiao-Hua Yu
Electrical Engineering
DC-DC converters can be found in almost every power electronics device. To improve the efficiency and controller response of a DC-DC converter to dynamical ~stem changes, neural network has been chosen as an alternative to classic methods. However, no prior work has been done in the neural network approach for control of a PSFB (phase-Shifted Full-Bridge) converter yet. In this research, a multi-layer feedforward neural network controller is proposed. The neural network based controller has the advantage of adaptive learning ability, and can work under the situation when the input voltage and load current fluctuate. Levenberg-Marquardt backpropagation training algorithm is …