Title :
On stability of Finite Control Set MPC strategy for Multicell Converters
Author :
Aguilera, Ricardo P. ; Quevedo, Daniel E.
Author_Institution :
Sch. of Electr. Eng. & Comput. Sci., Univ. of Newcastle, Callaghan, NSW, Australia
Abstract :
Finite Control Set Model Predictive Control has emerged as a promising control technique for Power Converters due to the fact that the inherent non-linearity of these systems can be taken into account. In addition, this strategy directly provides the switching action to be applied to the converter; consequently, additional modulation stages are not required. Despite these advantages, stability for this class of predictive control technique remains as an open problem. In the present work, we provide insights into the closed-loop stability for the Finite Control Set Model Predictive Control. As an illustrative example, we apply these stability guidelines to a Multicell Converter.
Keywords :
power convertors; predictive control; stability; closed-loop stability; finite control set model predictive control; multicell converters; power converters; Cost function; Guidelines; Lyapunov method; Optimal control; Power system stability; Predictive control; Predictive models; Pulse width modulation; Sampling methods; Voltage;
Conference_Titel :
Industrial Technology (ICIT), 2010 IEEE International Conference on
Conference_Location :
Vi a del Mar
Print_ISBN :
978-1-4244-5695-6
Electronic_ISBN :
978-1-4244-5696-3
DOI :
10.1109/ICIT.2010.5472626