DocumentCode :
1889657
Title :
Real-time efficiency optimisation of open-loop controlled synchronous PM motor drive using Adaptive Neural Networks
Author :
Al-Taee, Majid A. ; Al-Din, Monaf S. ; AlZu´bi, Hamzah S.
Author_Institution :
Comput. Eng. Dept., Univ. of Jordan, Amman, Jordan
fYear :
2011
fDate :
27-29 April 2011
Firstpage :
1
Lastpage :
4
Abstract :
Permanent Magnet Synchronous Motors (PMSMs) are prone to instability when operated open loop in variable speed drives. This paper presents a real-time control strategy based on Adaptive Neural Networks (ANN) for efficiency optimisation of a previously reported drive system incorporating a high-field PMSM. Stability constraints of the drive system are used by the proposed controller to maintain both stable and highly efficient operation irrespective of load and supply variations. The obtained results from computer simulation are found in correlation with previously reported experiments and observations.
Keywords :
adaptive control; machine control; neurocontrollers; open loop systems; optimisation; permanent magnet motors; real-time systems; stability; synchronous motor drives; adaptive neural networks; drive system; open loop controlled synchronous PM motor drive; permanent magnet synchronous motor; real time efficiency optimisation; speed drive; stability constraints; Artificial neural networks; Optimization; Permanent magnet motors; Reactive power; Stability criteria; Torque; PM motor drive; adaptive neural networks; efficiency optimisation; open-loop control; stability analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
EUROCON - International Conference on Computer as a Tool (EUROCON), 2011 IEEE
Conference_Location :
Lisbon
Print_ISBN :
978-1-4244-7486-8
Type :
conf
DOI :
10.1109/EUROCON.2011.5929196
Filename :
5929196
Link To Document :
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