Earticle

초록

영어

Dealt with the Lipschitz nonlinear system with unknown input disturbances, the robust fault diagnosis observer algorithm is proposed. In order to improve the limitations of the traditional methods on assumption that the norm of unknown input disturbances is bounded, the disturbances constraint condition that satisfies the system stability is derived via the group algebra theory. It is verified that a class of systems under the norm bounded constraint condition is unstable. The robustness performance index is defined to ensure the robustness of the fault diagnosis observer designed. The fault diagnosis observer constructed is robust asymptotic convergence observer under the constraint of robustness performance index derived using the Gronwall lemma. In the decision-making, adaptive threshold is designed. Finally, the simulations are performed on missile attitude control system. Simulation results show that the effectiveness of the algorithm proposed.

목차

Abstract
 1. Introduction
 2. Problem Statement
 3. Stability Analysis of Disturbances System
 4. Robust Fault Diagnosis Observer Design
 5. Fault Diagnosis Algorithm and Adaptive Threshold Design
 6. Simulation
  6.1. Simulation Parameters
  6.2. Performance Analysis for the Fault Diagnosis Algorithm
 7. Conclusion
 References

키워드

저자

• Zhao Jing-yun [ Henan Mechanical and Electrical Engineering, Xinxiang 453002, China ]
• Han Xiao [ Henan Mechanical and Electrical Engineering, Xinxiang 453002, China ]
• Fu Zhen-duo [ College of Automation, Harbin Engineering University, Harbin 150001, China ]
• Liao Yue-feng [ Henan Mechanical and Electrical Engineering, Xinxiang 453002, China ]

참고문헌

발행기관

간행물

표지보기 관심저널 등록

• 간행물명

  International Journal of Security and Its Applications

• 간기

  격월간

• pISSN

  1738-9976

• 수록기간

  2008~2016

• 등재여부

  SCOPUS

• 십진분류

  KDC 505 DDC 605