Open AccessFuzzy impulsive control of chaos in permanent magnet synchronous motors with parameter uncertainties
Author(s) -
Dong Li,
Shilong Wang,
Xiaohong Zhang,
Dan Yang
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.58.2939
Subject(s) - control theory (sociology) , fuzzy logic , chaos (operating system) , computer science , lyapunov function , permanent magnet synchronous motor , stability (learning theory) , matrix (chemical analysis) , lyapunov stability , magnet , control (management) , physics , nonlinear system , artificial intelligence , materials science , computer security , quantum mechanics , machine learning , composite material
In this paper, the Takagi-SugenoT-S fuzzy impulsive control model for PMSMs with parameter uncertainties is established via the T-S modeling technique and impulsive technique. Based on the new model, the control conditions of asymptotical and exponential 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 existing results, the obtained results exhibit certain advantage.