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.
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Yoo, D.K., Wang, L., Gawthrop, P. (2012). Predictive Control of a Three-Phase Regenerative PWM Converter. In: Wang, L., Garnier, H. (eds) System Identification, Environmental Modelling, and Control System Design. Springer, London. https://doi.org/10.1007/978-0-85729-974-1_29
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DOI: https://doi.org/10.1007/978-0-85729-974-1_29
Publisher Name: Springer, London
Print ISBN: 978-0-85729-973-4
Online ISBN: 978-0-85729-974-1
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