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Frontiers of Electrical and Electronic Engineering

ISSN 2095-2732

ISSN 2095-2740(Online)

CN 10-1028/TM

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Front Elect Electr Eng Chin    2011, Vol. 6 Issue (4) : 567-574    https://doi.org/10.1007/s11460-011-0158-7
RESEARCH ARTICLE
Design and analysis of control system using neural network for regulated DC power supply
Z I DAFALLA1, Jihad Alkhalaf BANI-YOUNIS2(), L K WAH3
1. IT Department, Ibri College of Applied Sciences, Ibri 516, Oman; 2. Dean Office, Ibri College of Applied Sciences, Ibri 516, Oman; 3. Faculty of Engineering, Multimedia University, Cyberjaya 63100, Malaysia
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Abstract

Conventional control systems used for regulated power supplies, including the proportional integral and derivation (PID) controller, have some serious disadvantages. The PID controller has a delayed feedback associated with the control action and requires a lot of mathematical derivations. This paper presents a novel controlling system based on the artificial neural network (ANN), which can be used to regulate the output voltage of the DC power supply. Using MATLABTM, the designed control system was tested and analyzed with two types of back-propagation algorithms. This paper presents the results of the simulation that includes sum-squared error (SSE) and mean-squared error (MSE), and gives a detailed comparison of these values for the two algorithms. Hardware verification of the new system, using RS232 interface and Microsoft Visual Basic 6.0, was implement- ed, showing very good consistency with the simulation results. The proposed control system, compared to PID and other conventional controllers, requires less mathematical derivation in design and it is easier to implement.
Keywords regulated power supply      neural network      proportional integral and derivation (PID) controller      multi-layer perceptron (MLP) network     
Corresponding Author(s): BANI-YOUNIS Jihad Alkhalaf,Email:jehad.ibr@cas.edu.om   
Issue Date: 05 December 2011
 Cite this article:   
Z I DAFALLA,Jihad Alkhalaf BANI-YOUNIS,L K WAH. Design and analysis of control system using neural network for regulated DC power supply[J]. Front Elect Electr Eng Chin, 2011, 6(4): 567-574.
 URL:  
https://academic.hep.com.cn/fee/EN/10.1007/s11460-011-0158-7
https://academic.hep.com.cn/fee/EN/Y2011/V6/I4/567
Fig.1  Plant with P+I+D controller
Fig.2  Single-layer neural net
Fig.3  Multi-layer neural net
Fig.4  Block diagram of regulated power supply using neural network
Fig.5  MLP network
Fig.6  Error measuring trajectory for TRAINLM using MSE
Fig.7  Error measuring trajectory for TRAINLM using SSE
Fig.8  Error measuring trajectory for TRAINRP using MSE
Fig.9  Error measuring trajectory for TRAINRP using SSE
Fig.10  Host unit hardware
Fig.11  RS232 Interface
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