Picture of flying drone

Award-winning sensor signal processing research at Strathclyde...

The Strathprints institutional repository is a digital archive of University of Strathclyde's Open Access research outputs. Strathprints provides access to thousands of Open Access research papers by University of Strathclyde researchers, including by Strathclyde researchers involved in award-winning research into technology for detecting drones. - but also other internationally significant research from within the Department of Electronic & Electrical Engineering.

Strathprints also exposes world leading research from the Faculties of Science, Engineering, Humanities & Social Sciences, and from the Strathclyde Business School.

Discover more...

Sensorless current control of three-phase inverter-based distributed generation

Ahmed, Khaled H.K. and Massoud, A. and Finney, S.J. and Williams, B.W. (2009) Sensorless current control of three-phase inverter-based distributed generation. IEEE Transactions on Power Delivery, 24 (2). pp. 919-929. ISSN 0885-8977

Full text not available in this repository. (Request a copy from the Strathclyde author)

Abstract

This paper presents a modified adaptive Kalman filter for sensorless current control of a three-phase inverter-based distributed generation system. Measurement and digital signal processor delays have been compensated by using a modified Kalman filter. The control variable states can be estimated one sample in advance with a reduced number of sensors. Two current control loops with the steepest descent adaptive control for grid voltage estimation have been employed to boost robustness. Stability and dynamic performance have been examined for different state variables using root locus. Simulation and experimental results validate the proposed control approach.