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Design of Fuzzy Neural Network Guidance Law Based on Takagi-Sugeno for UAV

첫 페이지 보기
  • 발행기관
    보안공학연구지원센터(IJCA) 바로가기
  • 간행물
    International Journal of Control and Automation SCOPUS 바로가기
  • 통권
    Vol.7 No.12 (2014.12)바로가기
  • 페이지
    pp.133-142
  • 저자
    Yibo Li, Zitong Li, Yi Wang, Wei Chen
  • 언어
    영어(ENG)
  • URL
    https://www.earticle.net/Article/A239162

※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.

원문정보

초록

영어
Guidance of unmanned aerial vehicle (UAV) in three-dimensional space was studied in this paper. We designed a three-dimensional fuzzy neural network guidance law with the fuzzy rules of Takagi-Sugeno that based on proportional guidance principle and put the characteristics of the fuzzy neural network control into use. We decomposed the 3-D tracking trajectory into two two-dimensional planes and guided respectively, and took the influence of target mobility for guidance trajectory into consider. The design of guidance law was using the principle of proportional guidance, based on the Takagi-Sugeno type fuzzy inference, we took horizontal line of approaching velocity of missile-to-target, vertical line of sight angle velocity and sight angle velocity as inputs of fuzzy neural network, and yaw and pitch acceleration commands of UAV are the outputs, then we simulated the seeker tracking process against the target doing uniform motion in a straight line, curve movement and uniform circular motion respectively for UAV. Verified by simulation in this paper, the effect of the design of guidance law is ideal, and the proposed law is superior to the others and has good effect in response to the maneuvering target, and guidance trajectory is smoother.

목차

Abstract
 1. Introduction
 2. 3-Dimensional Pursuit-Evasion Model
 3. The Design of Neural Network Guidance Law in 3-Dimensional Space
 4. Simulation Analysis
  4.1 Simulation Parameter Settings
  4.2 Simulation Result
 5. Summarizes
 Acknowledgements
 References

키워드

proportional guidance fuzzy neural network Difference equation Takagi-Sugeno

저자

  • Yibo Li [ School of Automation, Shenyang Aerospace University, Liao Ning, China AVIC Chengdu Aircraft Industrial (group) CO., LTD, Chengdu, China ]
  • Zitong Li [ School of Automation, Shenyang Aerospace University, Liao Ning, China AVIC Chengdu Aircraft Industrial (group) CO., LTD, Chengdu, China ]
  • Yi Wang [ School of Automation, Shenyang Aerospace University, Liao Ning, China AVIC Chengdu Aircraft Industrial (group) CO., LTD, Chengdu, China ]
  • Wei Chen [ School of Automation, Shenyang Aerospace University, Liao Ning, China AVIC Chengdu Aircraft Industrial (group) CO., LTD, Chengdu, China ]

참고문헌

자료제공 : 네이버학술정보

간행물 정보

발행기관

  • 발행기관명
    보안공학연구지원센터(IJCA) [Science & Engineering Research Support Center, Republic of Korea(IJCA)]
  • 설립연도
    2006
  • 분야
    공학>컴퓨터학
  • 소개
    1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업

간행물

  • 간행물명
    International Journal of Control and Automation
  • 간기
    월간
  • pISSN
    2005-4297
  • 수록기간
    2008~2016
  • 십진분류
    KDC 505 DDC 605

이 권호 내 다른 논문 / International Journal of Control and Automation Vol.7 No.12

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