Sensorless Cascaded-Model Predictive Control applied to a Doubly Fed Induction Machine

Riccio, Jacopo; Odhano, Shafiq; Tang, Mi; Zanchetta, Pericle

Abstract

This paper proposes a sensorless cascaded model predictive control strategy applied to a doubly-fed induction machine. This technique is based on an improved stator flux estimator, and an extended Kalman filter to control encoder-less and independently the electromagnetic torque and the reactive power of the machine. The purpose of employing a model predictive-based control, is to achieve fast dynamic response and upgrading it with a modulation stage to mitigate the control variables ripple. The introduced control technique might be considered for adjustable speed application such as wind energy conversion systems.

• Conference Name: 2020 IEEE Energy Conversion Congress and Exposition (ECCE)
• Conference Location: Online
• Start Date: Oct 11, 2020
• End Date: Oct 15, 2020
• Acceptance Date: Jul 1, 2020
• Online Publication Date: Oct 30, 2020
• Publication Date: Oct 11, 2020
• Deposit Date: Apr 7, 2021
• Publicly Available Date: Apr 7, 2021
• Publisher: Institute of Electrical and Electronics Engineers
• ISBN: 9781728158266
• DOI: https://doi.org/10.1109/ecce44975.2020.9236318
• Public URL: https://nottingham-repository.worktribe.com/output/5412291
• Publisher URL: https://ieeexplore.ieee.org/abstract/document/9236318
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