Title of article :
High performance robust linear controller synthesis for an induction motor using a multi-objective hybrid control strategy Original Research Article
Author/Authors :
Kai Zheng، نويسنده , , Aik-Hong Lee، نويسنده , , Joseph Bentsman، نويسنده , , Philip T. Krein، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2006
Pages :
21
From page :
2061
To page :
2081
Abstract :
A robust induction motor control should provide the desired performance in the face of both plant model and controller model uncertainty. In a recent work, Bottura and co-workers, using the field orientation principle, introduced a representation of a nonlinear time-varying induction motor model that admits robust induction motor controller synthesis in the linear H∞H∞ framework. The present work considers the use of the approach of Bottura et al. for attaining robust performance of the main operating modes–tracking and disturbance rejection–of an induction motor control system under implementation constraints on the control signal magnitude. This approach requires two distinct mode-specific controllers with gains that cannot be bridged without considerable performance degradation. To address this problem, a multi-objective hybrid control design methodology is developed that employs the corresponding mode-specific controller in each mode, and organizes a rapid and smooth steady-state switching, or transfer, between these controllers to permit sequencing of the operating modes, as necessary. Simulation shows that the technique proposed yields controllers with performance minimally affected by an imprecise modeling of an induction motor, as well as a reduced cost controller implementation throughout the entire induction motor operating sequence.
Keywords :
Robust control , Bumpless transfer , Induction motor speed control , Hybrid control
Journal title :
Nonlinear Analysis Theory, Methods & Applications
Serial Year :
2006
Journal title :
Nonlinear Analysis Theory, Methods & Applications
Record number :
859482
Link To Document :
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