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http://dx.doi.org/10.6113/JPE.2014.14.6.1178

Finite State Model-based Predictive Current Control with Two-step Horizon for Four-leg NPC Converters  

Yaramasu, Venkata (Department of Electrical and Computer Engineering, Ryerson University)
Rivera, Marco (Department of Industrial Technologies, Universidad de Talca)
Narimani, Mehdi (Department of Electrical and Computer Engineering, Ryerson University)
Wu, Bin (Department of Electrical and Computer Engineering, Ryerson University)
Rodriguez, Jose (Electronics Engineering Department, Universidad Tecnica Federico Santa Maria)
Publication Information
Journal of Power Electronics / v.14, no.6, 2014 , pp. 1178-1188 More about this Journal
Abstract
This study proposes a finite-state model predictive controller to regulate the load current and balance the DC-link capacitor voltages of a four-leg neutral-point-clamped converter. The discrete-time model of the converter, DC-link, inductive filter, and load is used to predict the future behavior of the load currents and the DC-link capacitor voltages for all possible switching states. The switching state that minimizes the cost function is selected and directly applied to the converter. The cost function is defined to minimize the error between the predicted load currents and their references, as well as to balance the DC-link capacitor voltages. Moreover, the current regulation performance is improved by using a two-step prediction horizon. The feasibility of the proposed predictive control scheme for different references and loads is verified through real-time implementation on the basis of dSPACEDS1103.
Keywords
Current control; DC-AC power conversion; DC-link capacitor voltage balancing; Digital control; Discrete-time signals; Distributed generation; Finite control set model predictive control; Four-leg converters; Multilevel converters;
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Times Cited By KSCI : 1  (Citation Analysis)
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