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Optimization of Fuzzy Attitude Control for Nanosatellites

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Intelligent Systems and Applications (IntelliSys 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 869))

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Abstract

In this work, the optimization by genetic algorithms of a system based on fuzzy logic for the attitude control of a nanosatellite is performed. The objective of this optimization is to propose different designs of the fuzzy controller depending on the possible operation modes along the whole mission of the satellite, to improve its efficiency and performance. Both, mono and multi objective optimizations, are performed finding that mono objective optimization leads to results that are not applicable in real systems due to its high cost of electrical power and that multi objective optimizations give very interesting results which allow some flexibility to change the controller to a faster one or one of lower cost.

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Author information

Authors and Affiliations

  1. Universidad Politécnica de Madrid, Madrid, Spain

    Ástor del Castañedo

  2. Universidad Politécnica de Madrid, E-USOC, Madrid, Spain

    Daniel Calvo & Álvaro Bello

  3. Universidad Politécnica de Madrid, ETSIAE, Madrid, Spain

    María Victoria Lapuerta

Authors
  1. Ástor del Castañedo
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  2. Daniel Calvo
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  3. Álvaro Bello
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  4. María Victoria Lapuerta
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Corresponding author

Correspondence to María Victoria Lapuerta .

Editor information

Editors and Affiliations

  1. Faculty of Science and Engineering, Saga University, Saga, Japan

    Kohei Arai

  2. The Science and Information (SAI) Organization, Bradford, UK

    Supriya Kapoor

  3. The Science and Information (SAI) Organization, Bradford, UK

    Rahul Bhatia

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del Castañedo, Á., Calvo, D., Bello, Á., Lapuerta, M.V. (2019). Optimization of Fuzzy Attitude Control for Nanosatellites. In: Arai, K., Kapoor, S., Bhatia, R. (eds) Intelligent Systems and Applications. IntelliSys 2018. Advances in Intelligent Systems and Computing, vol 869. Springer, Cham. https://doi.org/10.1007/978-3-030-01057-7_72

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