@incollection{YooWanGaw12,
author = {Yoo, Dae Keun and Wang, Liuping and Gawthrop, Peter},
affiliation = {RMIT University, Victoria, 3000 Australia},
title = {Predictive Control of a Three-Phase Regenerative PWM Converter},
booktitle = {System Identification, Environmental Modelling, and Control System Design},
editor = {Wang, Liuping and Garnier, Hugues},
publisher = {Springer London},
isbn = {978-0-85729-974-1},
keyword = {Engineering},
pages = {599-614},
doi = {10.1007/978-0-85729-974-1_29},
abstract = {One of the key components in a renewable energy system such as wind energy generator is a three-phase regenerative PWM converter. This component is nonlinear and time-varying by nature. However, with the classical synchronous frame transformation, the nonlinear model is linearized to obtain a continuous-time state-space model. Based on the linearized model, in this paper, a continuous-time model predictive control system (Laguerre function based) for a three-phase regenerative PWM converter is designed and implemented on a laboratory scaled test-bed that was built by the authors. In particular, a prescribed degree of stability is applied to provide a simple tuning parameter to the closed-loop performance.},
year = 2012
}
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