Journal article
Adaptive pulse width modulation design for power converters based on affine switched systems
- Abstract:
- In this work we propose a novel adaptive switching strategy for the design of pulse width modulation signals in power converters. Instead of an uncertain averaged model of the power converter, an uncertain switched model is considered, which can better represent the actual power converter dynamics. Uncertainties in the power converters parameters are handled via an adaptive control approach, and all circuit parameters of the switched model are assumed to be unknown (including the load and parasitic effects). After defining the pulse width modulation in terms of a reverse mode-dependent dwell time, an elementary-time-unit Lyapunov function is used to derive a set of linear matrix inequalities (LMIs) based on global uniformly ultimately boundedness of the switched system. The LMIs are solved in an adaptive fashion using an exploitation–exploration mechanism: exploitation is achieved by solving the LMIs based on the estimated switched model, while exploration is achieved by a persistently exciting input voltage source, which guarantees convergence of the estimated parameters to the true system parameters.
- Publication status:
- Published
- Peer review status:
- Peer reviewed
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- Files:
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(Preview, Accepted manuscript, pdf, 1.6MB, Terms of use)
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- Publisher copy:
- 10.1016/j.nahs.2018.07.002
Authors
- Publisher:
- Elsevier
- Journal:
- Nonlinear Analysis: Hybrid Systems More from this journal
- Volume:
- 30
- Pages:
- 306-322
- Publication date:
- 2018-08-01
- Acceptance date:
- 2018-07-14
- DOI:
- ISSN:
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1751-570X
- Language:
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English
- Keywords:
- Pubs id:
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pubs:896960
- UUID:
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uuid:25e0bc24-8bd8-4fc9-ab17-6b9b33a3ab62
- Local pid:
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pubs:896960
- Source identifiers:
-
896960
- Deposit date:
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2018-12-08
Terms of use
- Copyright holder:
- Elsevier Ltd
- Copyright date:
- 2018
- Notes:
- Copyright © 2018 Elsevier Ltd. This is the accepted manuscript version of the article. The final version is available online from Elsevier at: https://doi.org/10.1016/j.nahs.2018.07.002
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