International Journal of Control, Automation, and Systems

Institute of Control, Robotics and Systems (제어로봇시스템학회)
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Predictive Hybrid Redundancy using Exponential Smoothing Method for Safety Critical Systems

  • Kim, Man-Ho (Department of Mechatronics of Intelligent Vehicle Research Team, DGIST) ;
  • Lee, Suk (School of Mechanical Engineering, Pusan National University) ;
  • Lee, Kyung-Chang (Department of Control and Automation Engineering, Pukyong National University)
  • Published : 2008.02.28
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Abstract

As many systems depend on electronics, concern for fault tolerance is growing rapidly. For example, a car with its steering controlled by electronics and no mechanical linkage from steering wheel to front tires (steer-by-wire) should be fault tolerant because a failure can come without any warning and its effect is devastating. In order to make system fault tolerant, there has been a body of research mainly from aerospace field. This paper presents the structure of predictive hybrid redundancy that can remove most erroneous values. In addition, several numerical simulation results are given where the predictive hybrid redundancy outperforms wellknown average and median voters.

Keywords

References

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