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Multi-objective robust control based on fuzzy singularly perturbed models for hypersonic vehicles

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Abstract

In this paper, we propose a multi-objective robust controller based on fuzzy singularly perturbed models (FSPM) for the longitudinal motion of an air-breathing hypersonic vehicle. The control objective is to provide velocity and altitude tracking in the presence of the uncertainties and unknown nonlinearities in the model caused by variations in flight conditions. By approximating the multi-time-scale model with FSPM, ill-posed matrix calculations are circumvented. Under this framework, a fuzzy multi-objective robust controller is developed, and the linear matrix inequalities (LMI) condition is derived. Numerical simulation using the longitudinal model of a hypersonic aircraft is provided to demonstrate the effectiveness of the proposed strategy.

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Authors and Affiliations

  1. Department of Computer Science and Technology, Tsinghua University, Beijing, 100084, China

    YeNan Hu & FuChun Sun

  2. Department of Automation, Xi’an Research Institute of High-Tech, Xi’an, Shaanxi, 710025, China

    Yuan Yuan & HaiBo Min

  3. Beijing Institute of Astronautical System Engineering, Beijing, 100076, China

    HaiBo Min

Authors
  1. YeNan Hu
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  2. Yuan Yuan
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  3. HaiBo Min
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  4. FuChun Sun
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Correspondence to HaiBo Min.

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Hu, Y., Yuan, Y., Min, H. et al. Multi-objective robust control based on fuzzy singularly perturbed models for hypersonic vehicles. Sci. China Inf. Sci. 54, 563–576 (2011). https://doi.org/10.1007/s11432-011-4201-3

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  • DOI: https://doi.org/10.1007/s11432-011-4201-3

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