TY  - BOOK
AU  - Robyns,Benoît
AU  - Francois,Bruno
AU  - Degobert,Philippe
AU  - Hautier,Jean Paul
ED  - SpringerLink (Online service)
TI  - Vector Control of Induction Machines: Desensitisation and Optimisation Through Fuzzy Logic 
T2  - Power Systems,
SN  - 9780857299017
AV  - TK7881.15 
U1  - 621.317 23
PY  - 2012///
CY  - London
PB  - Springer London
KW  - Engineering
KW  - Computer simulation
KW  - Systems theory
KW  - Production of electric energy or power
KW  - Power Electronics, Electrical Machines and Networks
KW  - Mathematical Modeling and Industrial Mathematics
KW  - Simulation and Modeling
KW  - Control
KW  - Systems Theory, Control
N1  - Concepts for Electromechanical Conversion -- Dynamic Modeling of Induction Machines -- Vector Control of the Induction Machine -- Theoretical Study of the Parametric Sensitivity -- Fuzzy Supervisor -- Applications
N2  - After a brief introduction to the main law of physics and fundamental concepts inherent in electromechanical conversion, Vector Control of Induction Machines introduces the standard mathematical models for induction machines – whichever rotor technology is used – as well as several squirrel-cage induction machine vector-control strategies. The use of causal ordering graphs allows systematization of the design stage, as well as standardization of the structure of control devices. Vector Control of Induction Machines suggests a unique approach aimed at reducing parameter sensitivity for vector controls based on a theoretical analysis of this sensitivity. This analysis naturally leads to the introduction of control strategies that are based on the combination of different controls with different robustness properties, through the use of fuzzy logic supervisors. Numerous applications and experiments confirm the validity of this simple solution, which is both reproducible and applicable to other complex systems. Vector Control of Induction Machines is written for researchers and postgraduate students in electrical engineering and motor drive design
UR  - http://dx.doi.org/10.1007/978-0-85729-901-7
ER  -