DocumentCode
1923882
Title
Multistep direct model predictive control for power electronics — Part 2: Analysis
Author
Geyer, Tobias ; Quevedo, D.E.
Author_Institution
ABB Corp. Res., Baden-Dättwil, Switzerland
fYear
2013
fDate
15-19 Sept. 2013
Firstpage
1162
Lastpage
1169
Abstract
The performance of direct model predictive control (MPC) with reference tracking and long prediction horizons is evaluated, using the current control problem of a variable speed drive system with a voltage source inverter as an illustrative example. A modified sphere decoding algorithm allows one to efficiently solve the optimization problem underlying MPC also for long horizons. For a horizon of five and a three-level inverter, for example, the computational burden is reduced by four orders of magnitude, compared to the standard exhaustive search approach. This work illustrates the performance gains that are achievable by using prediction horizons larger than one. Specifically, for long prediction horizons and a low switching frequency, the total harmonic distortion of the current is significantly lower than for space vector modulation, making direct MPC with long horizons an attractive and computationally viable control scheme.
Keywords
decoding; electric current control; harmonic distortion; invertors; predictive control; search problems; variable speed drives; MPC; current control problem; long prediction horizons; low switching frequency; modified sphere decoding algorithm; multistep direct model predictive control; optimization problem; power electronics; reference tracking; space vector modulation; standard exhaustive search approach; three-level inverter; total harmonic distortion; variable speed drive system; voltage source inverter; Harmonic analysis; Inverters; Optimization; Stators; Support vector machines; Switches; Switching frequency;
fLanguage
English
Publisher
ieee
Conference_Titel
Energy Conversion Congress and Exposition (ECCE), 2013 IEEE
Conference_Location
Denver, CO
Type
conf
DOI
10.1109/ECCE.2013.6646836
Filename
6646836
Link To Document