Journal of Institute of Control, Robotics and Systems (제어로봇시스템학회논문지)

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Development of Kalman Hybrid Redundancy for Sensor Fault-Tolerant of Safety Critical System

Safety Critical 시스템의 센서 결함 허용을 위한 Kalman Hybrid Redundancy 개발

  • 김만호 (대구경북과학기술연구원 미래산업융합기술연구부) ;
  • 이석 (부산대학교 기계공학부) ;
  • 이경창 (부경대학교 제어자동화공학과)
  • Published : 2008.11.01
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Abstract

As many systems depend on electronics, concern for fault tolerance is growing rapidly in the safety critical system such as intelligent vehicle. In order to make system fault tolerant, there has been a body of research mainly from aerospace field including predictive hybrid redundancy by Lee. Although the predictive hybrid redundancy has the fault tolerant mechanism to satisfy the fault tolerant requirement of safety crucial system such as x-by-wire system, it suffers form the variability of prediction performance according to the input feature of system. As an alternative to the prediction method of predictive hybrid redundancy for robust fault tolerant, Kalman prediction has attracted some attention because of its well-known and often-used with its structure called Kalman hybrid redundancy. In addition, several numerical simulation results are given where the Kalman hybrid redundancy outperforms with predictive smoothing voter.

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References

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