Iterative Design of H∞ Loop-Shaping Weight for Single-Input Single-Output Lightly Damped Systems

IF 3.2 3区 计算机科学 Q2 AUTOMATION & CONTROL SYSTEMS International Journal of Robust and Nonlinear Control Pub Date : 2024-11-20 DOI:10.1002/rnc.7716
Shaokun Cheng, Lei Ma, Kemin Zhou
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引用次数: 0

Abstract

The ν $$ \nu $$ -gap metric has a clear frequency domain interpolation of system uncertainties. However, the ν $$ \nu $$ -gap metric between lightly damped systems may be very close to one, and causes difficulty for robust stability analysis as well as control design. In this article, the problem is addressed by adjusting the weight in the H $$ {H}_{\infty } $$ loop-shaping method to reduce the corresponding weighted ν $$ \nu $$ -gap metric at the resonance frequency (RF). To this end the selection of the weight is essential. The RFs of lightly damped systems with different perturbations often appear in a frequency band rather than at a single frequency. Thus, it is hard to investigate the weight's impact on the weighted ν $$ \nu $$ -gap metric based on any specific perturbation. Particularly, the weight W $$ W $$ may change the sequencing of ν $$ \nu $$ -gap metric of diverse perturbations to the nominal plant, and raises additional issue to the robust stability analysis. The expression of the maximum ν $$ \nu $$ -gap metric in the RF band is derived to tackle these problems. Then, the impact of the weight on the single-input single-output weighted ν $$ \nu $$ -gap metric is quantitatively analyzed. This provides a guidance to the H $$ {H}_{\infty } $$ loop-shaping of lightly damped systems. An iterative design of the weight optimization is applied by limiting the upper bound of the frequency response of the shaped plant. The feasibility and advantages of the iterative design is shown by an illustrative example of a single-phase pulse width modulation rectifier.

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来源期刊
International Journal of Robust and Nonlinear Control
International Journal of Robust and Nonlinear Control 工程技术-工程:电子与电气
CiteScore
6.70
自引率
20.50%
发文量
505
审稿时长
2.7 months
期刊介绍: Papers that do not include an element of robust or nonlinear control and estimation theory will not be considered by the journal, and all papers will be expected to include significant novel content. The focus of the journal is on model based control design approaches rather than heuristic or rule based methods. Papers on neural networks will have to be of exceptional novelty to be considered for the journal.
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