Adaptive control of a switch mode DC-DC power converter using a Recursive FIR predictor

Maher Algreer, Matthew Armstrong, Damian Giaouris

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

The classical Recursive Least Squares (RLS) algorithm is used in many adaptive control strategies. Unfortunately, these schemes often require significant signal processing and microprocessor hardware to implement. This can be a problem in cost sensitive systems. For this reason, this paper proposes the application of an alternative technique for the adaptive control of power electronic converter circuits. Specific attention is given to the adaptive control of a dc-dc converter. The method is computationally efficient and based around a Dichotomous Coordinate Descent (DCD) algorithm. The proposed controller uses an adaptive PD+I structure which, alongside the DCD algorithm, offers an effective alternative to a conventional Proportional-Integral-Derivative (PID) controller.

Original languageEnglish
Title of host publication5th IET International Conference on Power Electronics, Machines and Drives, PEMD 2010
Volume2010
Edition563 CP
DOIs
Publication statusPublished - 2 Sep 2010
Event5th IET International Conference on Power Electronics, Machines and Drives - Brighton, United Kingdom
Duration: 19 Apr 201021 Apr 2010

Conference

Conference5th IET International Conference on Power Electronics, Machines and Drives
Abbreviated titlePEMD 2010
CountryUnited Kingdom
CityBrighton
Period19/04/1021/04/10

Fingerprint Dive into the research topics of 'Adaptive control of a switch mode DC-DC power converter using a Recursive FIR predictor'. Together they form a unique fingerprint.

  • Cite this

    Algreer, M., Armstrong, M., & Giaouris, D. (2010). Adaptive control of a switch mode DC-DC power converter using a Recursive FIR predictor. In 5th IET International Conference on Power Electronics, Machines and Drives, PEMD 2010 (563 CP ed., Vol. 2010) https://doi.org/10.1049/cp.2010.0012