Fractional-order repetitive control of programmable AC power sources

Zou, Z., Zhou, K. , Wang, Z. and Cheng, M. (2014) Fractional-order repetitive control of programmable AC power sources. IET Power Electronics, 7(2), pp. 431-438. (doi: 10.1049/iet-pel.2013.0429)

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Programmable AC power sources that provide variable-frequency and variable-amplitude output voltages are widely used in automatic testing equipment and bench top applications. Under various load conditions, a high-performance programmable AC power source not only can generate very clean sinusoidal output voltages, but also to accurately synthesise specified harmonic distorted wave-shapes. Digital repetitive control (RC) can achieve zero steady-state error tracking of any periodic signal with known integer period, but usually fails to provide precise tracking of variable-frequency periodical waveform with fractional period. In this study, a frequency adaptive fractional-order RC (FORC) strategy at fixed sampling rate is proposed to track or eliminate any periodic signals with variable frequency, where a Lagrange interpolation-based fractional delay filter is used to approximate the factional delay items in RC. The proposed FORC that offers fast on-line tuning of the fractional delay and the fast update of the coefficients, provide a simple but high-performance real-time control approach to dealing with variable-frequency variable-magnitude periodic signals. A case study of FORC-based programmable AC power source is conducted. Experimental results are provided to show the effectiveness of the proposed FORC strategy. It can be widely used in extensive applications.

Item Type:Articles
Keywords:Fractional order, repetitive control, power converter
Glasgow Author(s) Enlighten ID:Zhou, Dr Keliang
Authors: Zou, Z., Zhou, K., Wang, Z., and Cheng, M.
Subjects:T Technology > TK Electrical engineering. Electronics Nuclear engineering
College/School:College of Science and Engineering > School of Engineering
Journal Name:IET Power Electronics
Publisher:Institution of Engineering and Technology
ISSN (Online):1755-4543

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