Skip to main content
SpringerLink
Log in

Design and optimization in multiphase homing trajectory of parafoil system

  • Mechanical Engineering, Control Science and Information Engineering
  • Published:
Journal of Central South University Aims and scope Submit manuscript

Abstract

In order to realize safe and accurate homing of parafoil system, a multiphase homing trajectory planning scheme is proposed according to the maneuverability and basic flight characteristics of the vehicle. In this scenario, on the basis of geometric relationship of each phase trajectory, the problem of trajectory planning is transformed to parameter optimizing, and then auxiliary population-based quantum differential evolution algorithm (AP-QDEA) is applied as a tool to optimize the objective function, and the design parameters of the whole homing trajectory are obtained. The proposed AP-QDEA combines the strengths of differential evolution algorithm (DEA) and quantum evolution algorithm (QEA), and the notion of auxiliary population is introduced into the proposed algorithm to improve the searching precision and speed. The simulation results show that the proposed AP-QDEA is proven its superior in both effectiveness and efficiency by solving a set of benchmark problems, and the multiphase homing scheme can fulfill the requirement of fixed-points and upwind landing in the process of homing which is simple in control and facile in practice as well.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Institutional subscriptions

Similar content being viewed by others

References

  1. ZHU Er-lin, SUN Qing-lin, TAN Pan-long, CHEN Zeng-qiang, HE Ying-ping. Modeling of powered parafoil based on kirchhoff motion equation [J]. Nonlinear Dynamics, 2015, 79(1): 617–629.

    Article  Google Scholar 

  2. LI Chun, LU Zhi-hui, HUANG Wei, SHEN Chao. Guidance navigation & control system for precision fix-point homing parafoil [J]. Journal of Central South University: Science and Technology, 2012, 43(4): 1331–1335. (in Chinese)

    Google Scholar 

  3. ROGERS J, SLEGER N. Robust parafoil terminal guidance using massively parallel processing [J]. Journal of Guidance, Control, and Dynamics, 2013, 36(5): 1336–1345.

    Article  Google Scholar 

  4. XIONG Jing. Research on the dynamics and homing project of parafoil system [D]. Changsha: National University of Defense Technology, 2005. (in Chinese)

    Google Scholar 

  5. ZHANG Li-min, GAO Hai-tao, CHEN Zeng-qiang, SUN Qing-lin, ZHANG Xing-hui. Multi-objective global optimal parafoil homing trajectory optimization via gauss pseudospectral method [J]. Nonlinear Dynamics, 2013, 72(1/2): 1–8.

    Article  MathSciNet  MATH  Google Scholar 

  6. GAO Hai-tao, ZHANG Li-min, SUN Qing-lin, SUN Ming-wei, CHEN Zeng-qiang, KANG Xiao-feng. Fault-tolerance design of homing trajectory for parafoil system based on pseudo-spectral method [J]. Control Theory & Applications, 2013, 30(6): 702–708. (in Chinese)

    Google Scholar 

  7. JIAO Liang, SUN Qing-lin, KANG Xiao-feng. Route planning for parafoil system based on chaotic particle swarm optimization [J]. Complex Systems and Complexity Science, 2012, 9(1): 47–54. (in Chinese)

    Google Scholar 

  8. JANN T. Aerodynamic model identification and GNC design for the parafoil-load system ALEX [J]. AIAA paper, 2001: 155–165.

    Google Scholar 

  9. SOPPA U, STRANGH R. GNC Concept for automated landing of a large parafoil [R]. AIAA 97-175, 1997.

    Google Scholar 

  10. ZHANG Xing-hui, ZHU Er-lin. Design and simulation in the multiphase homing of parafoil system based on energy confinement [J]. Aerospace Control, 2011, 29(5): 43–47. (in Chinese)

    Google Scholar 

  11. ZHENG Chen, WU Qing-xian, JIANG Chang-sheng, XIE Ya-rong. Optimization in multiphase homing trajectory of parafoil system based on IAGA [J]. Electronics Optics & Control, 2011, 18(2), 69–72. (in Chinese)

    Google Scholar 

  12. FAN Qin-qin, LU Zhao-min, YAN Xue-feng, GUO Mei-jin. Chemical process dynamic optimization based on hybrid differential evolution algorithm integrated with Alopex [J]. Journal of Central South University, 2013, 20(4): 950–959.

    Article  Google Scholar 

  13. SU Guo-shao, ZHANG Xiao-fei, CHEN Guang-qiang, FU Xing-yi. Identification of structure and parameters of rheological constitutive model for rocks using differential evolution algorithm [J]. Journal of Central South University of Technology, 2008(S1): 25–28.

    Article  Google Scholar 

  14. MOHAMMAD H, TAYARANI N, BENNETT P A, MOHAMMADI H. A novel magnetic update operator for quantum evolutionary algorithms [J]. Soft Computing in Industrial Application, 2011, 96: 67–76.

    Article  Google Scholar 

  15. HAN K H, KIM J H. Quantum-inspired evolutionary algorithm for a class of combinatorial optimization [J]. Evolutionary Computation, IEEE Transactions on, 2002, 6(6): 580–593.

    Article  Google Scholar 

  16. CHOURAQUI S, BENZATER H. Multi-objective biogeographybased optimization technique for tuning PUMA 560S controller [J]. Nonlinear Dynamics, 2015, 79(4): 2577–2588.

    Article  Google Scholar 

  17. JIAO Liang, SUN Qing-lin, KANG Xiao-feng, CHEN Zeng-qiang, LIU Zhong-xin. Autonomous homing of parafoil and payload system based on ADRC [J]. Journal of Control Engineering and Applied Informatics, 2011, 13(3): 25–31.

    Google Scholar 

  18. STRANHAN A L. Testing of parafoil autonomous GN&C for X-38 [C]// 17th AIAA Aerodynamic Decelerator Systems Technology Conference and Seminar. Monterey, California, USA: AIAA, 2003: 19–22.

    Google Scholar 

  19. GUO Peng. Research on improvement of differential evolution algorithm [D]. Tianjin: Tianjin University, 2011. (in Chinese)

    Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Physics and Electronics, Anhui Science and Technology University, Fengyang, 233100, China

    Hai-tao Gao  (高海涛)

  2. College of Computer and Control Engineering, Nankai University, Tianjin, 300071, China

    Hai-tao Gao  (高海涛), Jin Tao  (陶金), Qing-lin Sun  (孙青林) & Zeng-qiang Chen  (陈增强)

Authors
  1. Hai-tao Gao  (高海涛)
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Jin Tao  (陶金)
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Qing-lin Sun  (孙青林)
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Zeng-qiang Chen  (陈增强)
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Hai-tao Gao  (高海涛).

Additional information

Foundation item: Project(61273138) supported by the National Natural Science Foundation of China; Projects(KJ2016A169, KJ2015A242) supported by the University Natural Science Research Key Project of Anhui Province, China; Project(ZRC2014444) supported by the Talents Program of Anhui Science and Technology University, China

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Gao, Ht., Tao, J., Sun, Ql. et al. Design and optimization in multiphase homing trajectory of parafoil system. J. Cent. South Univ. 23, 1416–1426 (2016). https://doi.org/10.1007/s11771-016-3194-x

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s11771-016-3194-x

Keywords

Search

Navigation