Adaptive-tuning of extended Kalman filter used for small scale wind generator control

Hossam Al-Ghossini, Fabrice Locment, Manuela Sechilariu, Laurent Gagneur and Christophe Forgez

Renewable Energy, 2016, vol. 85, issue C, 1237-1245

Abstract: In this paper a small scale wind generator based on a permanent magnet synchronous machine (PMSM) and associated with an indirect maximum power point tracking (MPPT) algorithm is proposed. Choosing an energy conversion active structure and a sensorless PMSM, to control the system, a speed estimator is required. Facing to other methods, the extended Kalman filter (EKF) model-based estimator allows sensorless drive control in a wide speed range and estimates the rotation speed with a rapid response. The EKF parameters tuning is solved by introducing an adaptive method, i.e. adaptive-tuning EKF. This adaptive estimation approach is innovative by using a covariance matching technique. The experimental results prove that the proposed method is technically feasible with good performances within some limits.

Keywords: Small scale wind generator; Permanent magnet synchronous machine; Extended Kalman filter (search for similar items in EconPapers)
Date: 2016
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (1)

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Persistent link: https://EconPapers.repec.org/RePEc:eee:renene:v:85:y:2016:i:c:p:1237-1245

DOI: 10.1016/j.renene.2015.07.073

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