Vector Control of Induction Machines
Desensitisation and Optimisation Through Fuzzy Logic
Robyns, Benoît.
creator
author.
Francois, Bruno.
author.
Degobert, Philippe.
author.
Hautier, Jean Paul.
author.
SpringerLink (Online service)
text
xxk
London
Springer London
2012
monographic
eng
access
XXVI, 222 p. online resource.
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.
Concepts for Electromechanical Conversion -- Dynamic Modeling of Induction Machines -- Vector Control of the Induction Machine -- Theoretical Study of the Parametric Sensitivity -- Fuzzy Supervisor -- Applications.
by Benoît Robyns, Bruno Francois, Philippe Degobert, Jean Paul Hautier.
Engineering
Computer simulation
Systems theory
Production of electric energy or power
Engineering
Power Electronics, Electrical Machines and Networks
Mathematical Modeling and Industrial Mathematics
Simulation and Modeling
Control
Systems Theory, Control
TK7881.15
621.317
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