Proceedings of 2003 IEEE Conference on Control Applications, 2003. CCA 2003.
DOI: 10.1109/cca.2003.1223505
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Robust control of DC/DC PWM converters: a comparison of H/sub ∞/, μ, and fuzzy logic based approaches

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Cited by 14 publications
(11 citation statements)
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“…Control of DC-DC converters has been of particular interest in the last two decades [1]- [4]. From the control point of view, nearly all the power conversion systems are regarded as a tracking problem because the output quantity should follow the reference command with a fast transient behavior and a low steady-state error.…”
Section: Introductionmentioning
confidence: 99%
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“…Control of DC-DC converters has been of particular interest in the last two decades [1]- [4]. From the control point of view, nearly all the power conversion systems are regarded as a tracking problem because the output quantity should follow the reference command with a fast transient behavior and a low steady-state error.…”
Section: Introductionmentioning
confidence: 99%
“…These approaches cannot normally guarantee an optimized large signal behavior, including the start-up regime. Even advanced linear control approaches, such as   [11]- [13], µ [14]- [17], and Hammerstein model-based control [3], [18] cannot guarantee a fast and low overshoot response in the start-up period [1]. One solution is using non-linear and intelligent controllers, such as fuzzy controllers.…”
Section: Introductionmentioning
confidence: 99%
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“…Multivariable Multiple Input-Multiple Output (MIMO) robust control in these type of system has already been studied in literature, as in Gadoura et al (2002) and Rafiei et al (2003), where robust H ∞ is proposed. However, application to the real model and order reduction is not addressed.…”
Section: Introductionmentioning
confidence: 99%
“…Various aspects of robust control of a buck converter, both in current and voltage control modes, have been discussed and reported [3]. Several non-linear control techniques such as the fuzzy control, H ∞ control, micro synthesis (μ) control and the sliding mode control have also been used [4][5][6][7]. But the problem with these techniques is that they involve laborious task of determining the weighting functions and their implementation is not easy.…”
Section: Introductionmentioning
confidence: 99%