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dc.contributor.author Dove, Albert
dc.contributor.author Hofsajer, I
dc.contributor.author Naude, J
dc.date.accessioned 2018-02-12T09:54:57Z
dc.date.available 2018-02-12T09:54:57Z
dc.date.issued 2017-01
dc.identifier.citation Dove, A., Hofsajer, I. and Naude J. 2018. Spectral shaping of a randomized PWM DC-DC converter using maximum entropy probability distributions. In: Proceedings of the 25th Southern African Universities Power Engineering Conference (SAUPEC 2017), Stellenbosch, South Africa, 30 January - 1 February 2017 en_US
dc.identifier.isbn 978-0-0620-74503-1
dc.identifier.uri http://www0.sun.ac.za/saupec2017/Papers/PaperView.php?%20PublicationID%20=%201781
dc.identifier.uri http://hdl.handle.net/10204/10034
dc.description Proceedings of the 25th Southern African Universities Power Engineering Conference (SAUPEC 2017), 30 January - 1 February 2017, Stellenbosch, South Africa en_US
dc.description.abstract The use of random pulse width modulation has been known to help reduce Electromagnetic Interference (EMI) in power converters. The procedure for reducing EMI using Random Pulse Width Modulation (RPWM) techniques has always been to spread the harmonic power in the power density spectrum -otherwise caused by periodic PWM- by randomizing the PWM. This in turn reduces the amplitude of the EMI noise. Probability distribution functions (PDF) determine the extent to which EMI amplitudes could be reduced. This paper presents probability distribtions of the PWM which will result in the spreading out of harmonic power in the power density spectrum. The relationship between probability distributions and spreading out of harmonic power whilst maintaining constraints in a DC-DC converter is investigated. A probability distribution whose aim is to ensure maximal harmonic spreading and yet mainaint constraints is presented. The PDFs are determined from a direct application of the method of Maximum Entropy. It is shown that given a pool of randomized parameters, there exists a region through which maximum spreading happens and how this spreading out is compromized by having constraints. en_US
dc.language.iso en en_US
dc.publisher SAUPEC 2017 en_US
dc.relation.ispartofseries Workflow;20022
dc.subject Electromagnetic interference distribution en_US
dc.subject Maximum entropy en_US
dc.subject Power density spectrum en_US
dc.subject Probability distribution en_US
dc.subject RPWM en_US
dc.subject Random Pulse Width Modulation en_US
dc.title Spectral shaping of a randomized PWM DC-DC converter using maximum entropy probability distributions en_US
dc.type Presentation en_US


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