DocumentCode :
2890777
Title :
Model predictive control with a fixed switching frequency for a 5-level flying capacitor converter
Author :
Tomlinson, M. ; Mouton, T. ; Kennel, Ralph ; Stolze, P.
Author_Institution :
Univ. van Stellenbosch, Stellenbosch, South Africa
fYear :
2013
fDate :
3-6 June 2013
Firstpage :
1208
Lastpage :
1214
Abstract :
This paper presents a novel finite-set model predictive control technique with a fixed switching frequency for a 5-level FCC converter. Standard implementations of finite-set model predictive control (FS-MPC) are typically characterised by a variable switching frequency, a high noise floor and a large voltage and current ripple. A method is proposed by selecting a fixed switching period and dividing it into smaller evaluation steps. The switching behaviour is obtained by using the analogy of PWM with triangular carriers to define regions during which only specific switching transitions are allowed. To account for the repetitive nature of the desired switching waveform, an average receding horizon prediction method is used. An anticipated prediction is made by calculating the average value for one switching period ahead, according to the position and state in the current switching period. The control method was practically implemented and evaluated, proved to be feasible and provided satisfactory results.
Keywords :
PWM power convertors; predictive control; switching convertors; 5-level flying capacitor converter; FCC converter; FS-MPC; PWM analogy; average receding horizon prediction method; current ripple; finite-set model predictive control technique; fixed switching frequency; noise floor; switching period; switching transitions; triangular carriers; variable switching frequency; voltage ripple; Predictive models; Pulse width modulation; Switches;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
ECCE Asia Downunder (ECCE Asia), 2013 IEEE
Conference_Location :
Melbourne, VIC
Print_ISBN :
978-1-4799-0483-9
Type :
conf
DOI :
10.1109/ECCE-Asia.2013.6579262
Filename :
6579262
Link To Document :
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