Title :
Artificial Neural Networks Controller Algorithm Developed for a Brushless DC Motor
Author :
Colak, Ilhami ; Sahin, Mesut ; Esen, Zafer
Author_Institution :
Renewable Energy Res. Group - GURER, Gazi Univ., Ankara, Turkey
Abstract :
Brush less DC Motors are often preferred due to their high power/volume ratio in electrical vehicles with space constraint and need of high power and space technologies. So that, modeling, simulation and controlling of Brush less DC (BLDC) Motors should be developed for these applications. In this study, the modelling and simulation studies for a BLDC motor in MATLAB/Simulink and a controller design in the structure of ANN based control system with PID compensator are presented. Developed control algorithm is converted to C code which can be understood by standard compilers with Simulink/Target Language Compiler plugin and this code is compiled and embedded to DSPIC MCU. Simulation and test results are compared and good correlation is found between them.
Keywords :
C language; brushless DC motors; compensation; control engineering computing; control system synthesis; machine control; neurocontrollers; program compilers; three-term control; ANN based control system; BLDC; C code; DSPIC MCU; MATLAB/Simulink; PID compensator; Simulink/Target language compiler plugin; artificial neural networks controller algorithm; brushless DC motor; controller design; power-volume ratio; space constraint; Artificial neural networks; Brushless DC motors; Integrated circuit modeling; Mathematical model; Software packages; Brushless DC Motor; MATLAB/Simulink; Neural Networks Controller; Simulink/Target Language Compiler; dsPIC;
Conference_Titel :
Machine Learning and Applications (ICMLA), 2013 12th International Conference on
Conference_Location :
Miami, FL
DOI :
10.1109/ICMLA.2013.129