NDLI: A New Model Reference Adaptive Controller for Four Quadrant Vector Controlled Induction Motor Drives

Content Provider	IEEE Xplore Digital Library
Author	Ravi Teja, A.V. Chakraborty, C. Maiti, S. Hori, Y.
Copyright Year	1982
Abstract	In this paper, a new model reference adaptive controller (MRAC) for the speed estimation of the vector-controlled induction motor drive is presented. The proposed MRAC is formed using instantaneous and steady-state values of X (= v⃗* × i⃗ where v = voltage and i = current vector in synchronously rotating reference frame), which is a fictitious quantity and has no physical significance. This formulation is not only simply realizable but also made the sensorless drive stable in all the four quadrants of operation. Speed estimation does not involve computation of stator or rotor flux. Requirement of no additional sensors makes the drive suitable for retrofit applications. A simple modification of the controller can estimate the stator resistance in all the four quadrants of operation, if speed signal is available. The proposed MRAC-based speed sensorless vector control drive as well as the stator resistance estimation technique has been simulated in MATLAB/SIMULINK and experimentally validated through a dSPACE-1104-based laboratory prototype. A study on stability of such systems is also added.
Sponsorship	IEEE Industrial Electronics Society
Starting Page	3757
Ending Page	3767
Page Count	11
File Size	1972524
File Format	PDF
ISSN	02780046
Volume Number	59
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2012-10-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Estimation Rotors Stators Stability analysis Resistance Mathematical model Adaptation models vector control Induction motor model reference adaptive controller (MRAC) sensorless stator resistance
Content Type	Text
Resource Type	Article
Subject	Control and Systems Engineering Electrical and Electronic Engineering Computer Science Applications

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