• Electronics Optics & Control
  • Vol. 29, Issue 3, 16 (2022)
ZHANG Zhixuan, LI Tao, WU Pengfei, and ZHAO Hongsheng
Author Affiliations
  • [in Chinese]
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    DOI: 10.3969/j.issn.1671-637x.2022.03.004 Cite this Article
    ZHANG Zhixuan, LI Tao, WU Pengfei, ZHAO Hongsheng. Quad-Rotor PID Parameter Tuning Based on Improved Chaotic Particle Swarm Optimization[J]. Electronics Optics & Control, 2022, 29(3): 16 Copy Citation Text show less
    References

    [4] REN X L,YANG Y,GAO L,et al.Research on robot tracking of books returning to bookshelf based on particle swarm optimization fuzzy PID control[C]//Chinese Co-ntrol and Decision Conference(CCDC).Hefei:IEEE,2020:555-559.

    [6] TOUSI S M A,MOSTAFANASAB A,TESHNEHLAB M.Design of self tuning PID controller based on competitional PSO[C]//The 4th Conference on Swarm Intelligence and Evolutionary Computation(CSIEC).Mashhad:IEEE, 2020:423-436.

    [8] RAZA Y,AHMED S F,ALI A,et al.Optimization of PID using PSO for upper limb rehabilitation robot[C]//The 5th International Conference on Engineering Technologies and Applied Sciences(ICETAS).Bangkok:IEEE,2018:86-90.

    [10] RONI M H K,RANA M S.Optimized PID control scheme for three phase micro-grid system[C]//The 2nd International Conference on Robotics,Electrical and Signal Processing Techniques(ICREST).Dhaka:IEEE,2021:42-53.

    [11] LI L Q,BU R X,SUN W C,et al.Ship track-keeping control based on sliding mode variable structure PID controller and particle swarm optimization[C]//The 6th International Conference on Information Science and Control Engineering (ICISCE).Shanghai:IEEE,2019:887-891.

    ZHANG Zhixuan, LI Tao, WU Pengfei, ZHAO Hongsheng. Quad-Rotor PID Parameter Tuning Based on Improved Chaotic Particle Swarm Optimization[J]. Electronics Optics & Control, 2022, 29(3): 16
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