Real-time robust pinch detection algorithm for automotive applications

Won Sang Ra, Hye Jin Lee, Tae Sung Yoon, Jin Bae Park

Research output: Chapter in Book/Report/Conference proceedingConference contribution

2 Citations (Scopus)


A robust pinch detection algorithm which can be implemented in a cheap microprocessor is proposed for safety power window systems. To deal with the problems caused by performance degradation of a Hall sensor or real driving situations, the proposed algorithm makes use of the H, state estimation technique. The motivation of this approach comes from the advantage that the H filter can minimize or bound the worst-case estimation error energy for all bounded energy disturbances. Herein, the pinch torque rate estimator is derived by applying the steady-state H filter to the augmented model which includes the motor dynamics and an additional torque rate state. Then, by redesigning the estimator to be appropriate for real-time implementation, the torque rate estimate can be calculated more simply than the previous method [1]. Experimental results verify that, with a small amount of computation, the proposed pinch detection algorithm provides fast pinch detection performance similar to the existing method. Furthermore, it guarantees robustness against the worst-case measurement noises.

Original languageEnglish
Title of host publicationProceedings of ITSC 2006
Subtitle of host publication2006 IEEE Intelligent Transportation Systems Conference
Number of pages6
Publication statusPublished - 2006
EventITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference - Toronto, ON, Canada
Duration: 2006 Sept 172006 Sept 20

Publication series

NameIEEE Conference on Intelligent Transportation Systems, Proceedings, ITSC


OtherITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference
CityToronto, ON

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications


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