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Stator Flux Based Model Reference Adaptive Observers for Rotor Position and Speed Estimation in Doubly-Fed Induction Machines

Nair, Ramu R and Narayanan, G (2018) Stator Flux Based Model Reference Adaptive Observers for Rotor Position and Speed Estimation in Doubly-Fed Induction Machines. In: 2018 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES)2018 IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), 18-21 Dec. 2018, Chennai.

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Official URL: https://doi.org/10.1109/PEDES.2018.8707787

Abstract

Sensorless estimation of speed is preferred for Doubly-Fed Induction Generator (DUG) used in wind energy conversion systems, in view of cost, maintenance, cabling and reliability issues. This paper proposes two stator flux based Model Reference Adaptive Observers (MRAO) for rotor position and speed estimation in doubly-fed induction machines. The cross product of reference and estimated stator flux linkage vectors is fed as controller input in the existing method, thereby making the observer model non-linear. The first proposed method, which is based on notch filtering, offers a performance comparable to that of the existing method, while reducing the number of voltage and current sensors required. The second method linearizes the observer model, leading to superior dynamic performance over the existing methods. This also simplifies the design of the controller. Simulations and experiments are performed on a 10 HP DFIG coupled to a Squirrel Cage Induction Motor (SCIM).

Item Type: Conference Proceedings
Additional Information: 8th IEEE International Conference on Power Electronics, Drives and Energy Systems (PEDES), Chennai, INDIA, DEC 18-21, 2018
Keywords: Doubly-fed induction generator; rotor position estimation; notch filter; controller design
Department/Centre: Division of Electrical Sciences > Electrical Communication Engineering > Electrical Communication Engineering - Technical Reports
Depositing User: Id for Latest eprints
Date Deposited: 20 Jun 2019 14:00
Last Modified: 21 Jun 2019 18:40
URI: http://eprints.iisc.ac.in/id/eprint/62988

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