DocumentCode :
1929574
Title :
Model predictive control -- a simple and powerful method to control power converters
Author :
Rodriguez, Jose ; Cortes, Patricio ; Kennel, Ralph ; Kazrnierkowski, Marian P.
Author_Institution :
Universidad Teenica Federico Santa Maria, Valparaiso, Chile
fYear :
2009
fDate :
17-20 May 2009
Firstpage :
41
Lastpage :
49
Abstract :
This paper presents a detailed description of Finite Control Set Model Predictive Control (FCS-MPC) applied to power converters. Several key aspects related to this methodology are in depth presented and compared with traditional power converter control techniques, such as linear controllers with PWM based modulation methods. The basic concepts, operating principles, control diagrams and results are used to provide a comparison between the different control strategies. The analysis is performed on a traditional three-phase voltage source inverter, used as simple and comprehensive reference frame. However, additional topologies and power systems are addressed to highlight differences, potentialities and challenges of FCS-MPC. Among the conclusions are the feasibility and great potential of FCSMPC due to today´s signal processing capability, specially for power systems with a reduced number of switching states and more complex operating principles, such as matrix converters. In addition, the possibility to address different or additional control objectives easily in a single cost function, enables a simple, flexible and improved performance controller for power conversion systems.
Keywords :
Control systems; Performance analysis; Power system analysis computing; Predictive control; Predictive models; Pulse width modulation; Pulse width modulation converters; Pulse width modulation inverters; Topology; Voltage;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power Electronics and Motion Control Conference, 2009. IPEMC '09. IEEE 6th International
Conference_Location :
Wuhan
Print_ISBN :
978-1-4244-3556-2
Electronic_ISBN :
978-1-4244-3557-9
Type :
conf
DOI :
10.1109/IPEMC.2009.5289335
Filename :
5289335
Link To Document :
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