Title
Randomized modulation of power converters via Markov chains
Abstract
Randomized modulation of switching in power converters holds promise for reducing filtering requirements and reducing acoustic noise in motor drive applications. This paper is devoted to issues in analysis and synthesis of randomized modulation schemes based on finite Markov chains. The main advantage of this novel type of randomized modulation is the availability of an explicit control of time-domain performance, in addition to the possibility of shaping the power spectra of signals of interest. We focus on the power spectra of the switching functions that govern converter operation, and on the power spectra of certain associated waveforms, numerical (Monte Carlo) and experimental verifications for our power spectral formulas are presented. We also formulate representative narrow- and wide-band synthesis problems in randomized modulation, and solve them numerically. Our results suggest that randomized modulation is very effective in satisfying narrow-band constraints, but has limited effectiveness in meeting wide-band signal power constraints.
Year
DOI
Venue
1996
10.1109/87.553665
IEEE Transactions on Control Systems Technology
Keywords
Field
DocType
dc-ac power convertors,dc-dc power convertors,markov processes,monte carlo methods,frequency-domain analysis,modulation,spectral analysis,switching circuits,time-domain analysis,acoustic noise,explicit control,filtering requirements,finite markov chains,motor drive,narrow-band synthesis,power converters,power spectra shaping,randomized modulation,time-domain performance,wide-band signal power constraints,wide-band synthesis
Computer science,Markov chain,Modulation,Converters,Electronic engineering
Journal
Volume
Issue
ISSN
5
1
1063-6536
Citations 
PageRank 
References 
2
0.48
2
Authors
3
Name
Order
Citations
PageRank
A. M. Stankovic19425.27
Verghese, George C.212621.84
D. J. Perreault347.09