Open AccessFuzzy control of chaos in permanent magnet synchronous motor with parameter uncertainties
Author(s) -
Dong Li,
Xiaohong Zhang,
Dan Yang,
Shilong Wang
Publication year - 2009
Publication title -
wuli xuebao
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.199
H-Index - 47
ISSN - 1000-3290
DOI - 10.7498/aps.58.1432
Subject(s) - control theory (sociology) , chaotic , chaos (operating system) , permanent magnet synchronous motor , computer science , fuzzy logic , lyapunov stability , stability (learning theory) , control (management) , magnet , control engineering , engineering , artificial intelligence , mechanical engineering , computer security , machine learning
The permanent magnet synchronous motor PMSMs may have chaotic behaviors under certain working conditions, especially for uncertain values of parameterswhich threatens its secure and stable operation. Henceit is important to study methods of controlling or suppressing chaos in PMSMs. In this paperthe Takagi-Sugeno fuzzy control model for PMSMs with parameter uncertainties is established via the Takagi-Sugen modeling method. Based on the new modelthe control conditions of asymptotical stability for PMSMs with parameter uncertainties have been derived by Lyapunov method and matrix analysis. An illustrative example is also given to show the effectiveness of our results. Compared with the curently available resultsthe obtained results exhibit some advantage.