NDLI: A Predictive Algorithm for Controlling Speed and Rotor Flux of Induction Motor

Content Provider	IEEE Xplore Digital Library
Author	de Santana, E.S. Bim, E. do Amaral, W.C.
Copyright Year	1982
Abstract	A model-based predictive control of rotor flux and speed of a vector-controlled induction motor (IM) is presented. A state-space approach is employed for modeling a rotor-flux-oriented IM. The control law is derived by optimization of an objective function that considers the control effort and the difference between the predicted outputs (speed and rotor flux) and the specific references, with predicted outputs calculated using a linearized state-space model. The rotor flux and speed are estimated by using an extended Kalman filter. In this model, the load inertia is unknown, and the external load torque is considered to be a disturbance. Its amplitude is computed with the electromechanical equation or estimated by the Kalman filter. Simulated and experimental results show the good performance of this strategy.
Sponsorship	IEEE Industrial Electronics Society
Starting Page	4398
Ending Page	4407
Page Count	10
File Size	504009
File Format	PDF
ISSN	02780046
Volume Number	55
Issue Number	12
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Prediction algorithms Rotors Induction motors Predictive models Predictive control Load modeling Torque Equations Amplitude estimation Computational modeling predictive control Field-oriented control (FOC) induction motors (IMs) model-based predictive control (MBPC) oriented rotor flux
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications

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