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Design of LQR Controller Based on Particle Swarm Optimization Algorithm for Aircraft Test Simulation Attitude Control System

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International Conference on Applications and Techniques in Cyber Security and Intelligence ATCI 2018 (ATCI 2018)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 842))

Abstract

A mathematical model is established for the self-designed vehicle test simulation attitude control system. On the basis of designing LQR controller based on linear quadratic optimal control method, Particle swarm optimization is used to optimize the parameter matrix of LQR controller. In order to stabilize the attitude control of the aircraft, reduce the response time and frequency of the system. Simulation experiment proves: The stability of the system is improved by the optimized LQR controller using particle swarm optimization, got a good control effect, it has high practical application value.

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Acknowledgments

Jilin provincial education department project «Automatic brake device design of automobile intelligent anti – error» (project number: JJKH2017162KJ). Supported by Program for Innovative Research Team of JiLin Engineering Normal University.

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Authors and Affiliations

  1. JiLin Engineering Normal University, Changchun, Jilin, China

    Jian Fang & Wei Li

Authors
  1. Jian Fang
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  2. Wei Li
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Corresponding author

Correspondence to Jian Fang .

Editor information

Editors and Affiliations

  1. Faculty of Science, Engineering and Built Environment, Deakin University Geelong, Geelong, VIC, Australia

    Jemal Abawajy

  2. Department of Information Systems and Cyber Security, The University of Texas at San Antonio, San Antonio, TX, USA

    Kim-Kwang Raymond Choo

  3. School of Computing and Mathematics, Charles Sturt University, Albury, NSW, Australia

    Rafiqul Islam

  4. Tsinghua University, Beijing Shi, China

    Zheng Xu

  5. School of Computer Science, University of Oklahoma, Norman, OK, USA

    Mohammed Atiquzzaman

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Fang, J., Li, W. (2019). Design of LQR Controller Based on Particle Swarm Optimization Algorithm for Aircraft Test Simulation Attitude Control System. In: Abawajy, J., Choo, KK., Islam, R., Xu, Z., Atiquzzaman, M. (eds) International Conference on Applications and Techniques in Cyber Security and Intelligence ATCI 2018. ATCI 2018. Advances in Intelligent Systems and Computing, vol 842. Springer, Cham. https://doi.org/10.1007/978-3-319-98776-7_150

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