Engineering

Volume 8, Issue 1 (January 2016)

ISSN Print: 1947-3931   ISSN Online: 1947-394X

Google-based Impact Factor: 0.66  Citations  

Field Weakening Control of a Separately Excited DC Motor Using Neural Network Optemized by Social Spider Algorithm

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DOI: 10.4236/eng.2016.81001    6,181 Downloads   8,382 Views  Citations

ABSTRACT

This paper presents the speed control of a separately excited DC motor using Neural Network (NN) controller in field weakening region. In armature control, speed controller has been used in outer loop while current controller in inner loop is used. The function of NN is to predict the field current that realizes the field weakening to drive the motor over rated speed. The parameters of NN are optimized by the Social Spider Optimization (SSO) algorithm. The system has been implemented using MATLAB/SIMULINK software. The simulation results show that the proposed method gives a good performance and is feasible to be applied instead of others conventional combined control methods.

Share and Cite:

Hameed, W. , Kadhim, A. and Al-Thuwaynee, A. (2016) Field Weakening Control of a Separately Excited DC Motor Using Neural Network Optemized by Social Spider Algorithm. Engineering, 8, 1-10. doi: 10.4236/eng.2016.81001.

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