High performance robust linear controller synthesis for an induction motor using a multi-objective hybrid control strategy

K. Zheng, A. H. Lee, J. Bentsman, P. T. Krein

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Two-degrees-of-freedom (2DOF) controller design is viewed as a standard technique capable of simultaneously addressing the performance objectives of the main operating modes - tracking and disturbance rejection - of an induction motor control system. However, in a typical industrial reduced cost controller implementation, the open-loop prefilter performance in the 2DOF topology could be severely degraded by the controller uncertainty, i.e., the mismatch between the dynamics of the analytical controller representation and its realization in software/hardware. This problem is addressed in the present work by a multi-objective hybrid control strategy. The latter consists in employing in each mode the corresponding optimally tuned One-degree-of-freedom (1DOF) design robust with respect to both the plant and the controller uncertainty, and organizing a rapid and smooth switching, or transfer, between the mode-specific controllers to provide sequencing of the operating modes, as necessary. Simulation results show that the technique proposed yields the fast switching robust controllers that provide the desired performance under rather significant controller uncertainty across the entire induction motor operating sequence, thereby offering an alternative, minimally affected by the reduced cost controller implementation, to a 2DOF design.

Original languageEnglish (US)
Title of host publication2004 43rd IEEE Conference on Decision and Control (CDC)
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages4417-4422
Number of pages6
ISBN (Print)0780386825
DOIs
StatePublished - 2004
Event2004 43rd IEEE Conference on Decision and Control (CDC) - Nassau, Bahamas
Duration: Dec 14 2004Dec 17 2004

Publication series

NameProceedings of the IEEE Conference on Decision and Control
Volume4
ISSN (Print)0743-1546
ISSN (Electronic)2576-2370

Other

Other2004 43rd IEEE Conference on Decision and Control (CDC)
Country/TerritoryBahamas
CityNassau
Period12/14/0412/17/04

ASJC Scopus subject areas

  • Control and Systems Engineering
  • Modeling and Simulation
  • Control and Optimization

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