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A Self-tuning Controller Design Method Based on LQG/LTR and Back Propagation Algorithm

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Proceedings of 2019 Chinese Intelligent Systems Conference (CISC 2019)

Part of the book series: Lecture Notes in Electrical Engineering ((LNEE,volume 593))

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Abstract

A self-tuning controller design method, based on the Back Propagation (BP) algorithm, was proposed to tune the LQG/LTR gain matrices directly without the need of selecting weighting matrices. The proposed controller design methodology is illustrated through the application to a turbo-shaft engine, and the simulation results demonstrate the improved design efficiency and the better controller performance.

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Author information

Authors and Affiliations

  1. Nanjing University of Aeronautics and Astronautics, Nanjing, Jiangsu, China

    Weimin Liu, Zhongzhi Hu, Jiqiang Wang & Shengyi Liu

Authors
  1. Weimin Liu
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  2. Zhongzhi Hu
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  3. Jiqiang Wang
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  4. Shengyi Liu
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Corresponding author

Correspondence to Jiqiang Wang .

Editor information

Editors and Affiliations

  1. Beihang University, Beijing, China

    Yingmin Jia

  2. Beijing University of Posts and Telecommunications, Beijing, China

    Junping Du

  3. University of Science and Technology Beijing, Beijing, China

    Weicun Zhang

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Cite this paper

Liu, W., Hu, Z., Wang, J., Liu, S. (2020). A Self-tuning Controller Design Method Based on LQG/LTR and Back Propagation Algorithm. In: Jia, Y., Du, J., Zhang, W. (eds) Proceedings of 2019 Chinese Intelligent Systems Conference. CISC 2019. Lecture Notes in Electrical Engineering, vol 593. Springer, Singapore. https://doi.org/10.1007/978-981-32-9686-2_30

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