Uncertainty models for switch-mode DC-DC converters
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Uncertainty models for the three basic switch-mode converters, buck, boost, and buck-boost, are given in this paper. The resulting models are represented by linear fractional transformations (LFT%27s) with structured dynamic uncertainties. Uncertainties are assumed for the load resistance R = Ro(1 δR), inductance L = Lo(1 δL), and capacitance C = Co(1 δC). The interest in these models is clearly motivated by the need to have models for switch-mode dc-dc converters that are compatible with robust control design, which require a model structure consisting of a nominal model, and a norm-bounded modeling uncertainty. Therefore, a robust controller design under parameter uncertainties can be obtained instead of the deterministic approach widely used.
Uncertainty models for the three basic switch-mode converters, buck, boost, and buck-boost, are given in this paper. The resulting models are represented by linear fractional transformations (LFT%27s) with structured dynamic uncertainties. Uncertainties are assumed for the load resistance R = Ro(1%2bδR), inductance L = Lo(1%2bδL), and capacitance C = Co(1%2bδC). The interest in these models is clearly motivated by the need to have models for switch-mode dc-dc converters that are compatible with robust control design, which require a model structure consisting of a nominal model, and a norm-bounded modeling uncertainty. Therefore, a robust controller design under parameter uncertainties can be obtained instead of the deterministic approach widely used.
Uncertainty models for the three basic switch-mode converters, buck, boost, and buck-boost, are given in this paper. The resulting models are represented by linear fractional transformations (LFT's) with structured dynamic uncertainties. Uncertainties are assumed for the load resistance R = Ro(1%2bδR), inductance L = Lo(1%2bδL), and capacitance C = Co(1%2bδC). The interest in these models is clearly motivated by the need to have models for switch-mode dc-dc converters that are compatible with robust control design, which require a model structure consisting of a nominal model, and a norm-bounded modeling uncertainty. Therefore, a robust controller design under parameter uncertainties can be obtained instead of the deterministic approach widely used.
Control system synthesis; Electric loads; Electric network synthesis; Electric resistance; Mathematical models; Mathematical transformations; Robustness (control systems); Linear fractional transformations (LFT); Power converters
