Title :
Software Design of Motor Control System Based on Neural Network
Author_Institution :
Fac. of Econ. & Manage., Shangqiu Normal Univ., Shangqiu, China
Abstract :
Along with the development of power electronics and digital technology, motor has attracted great attention of academic circles for its predominant structure, performance and economic indicator and occupied an important place in the field of electric drive in recent years, against the background of continuous increase of demands in various application fields, the study and design of motor control system are the result from the situation as well as the first imperative of people explore in this field. This paper takes DSP as system core and uses artificial neural network control algorithm to design a set of all-digital controlled motor control system software, and uses a modular programming method and control program based on multi-interrupt to improve the efficiency of control software.
Keywords :
control system CAD; digital control; digital signal processing chips; electric motors; machine control; neurocontrollers; all-digital controlled motor; artificial neural network control algorithm; control program; digital technology; electric drive; modular programming method; motor control system; power electronics; software design; Algorithm design and analysis; Artificial neural networks; Control systems; Digital signal processing; Economic indicators; Motor drives; Neural networks; Power electronics; Software algorithms; Software design;
Conference_Titel :
2009 International Conference on Signal Processing Systems
Conference_Location :
Singapore
Print_ISBN :
978-0-7695-3654-5
DOI :
10.1109/ICSPS.2009.215