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)

Abstract

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
Pages325-330
Number of pages6
Publication statusPublished - 2006 Dec 1
EventITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference - Toronto, ON, Canada
Duration: 2006 Sep 172006 Sep 20

Other

OtherITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference
CountryCanada
CityToronto, ON
Period06/9/1706/9/20

Fingerprint

Torque
State estimation
Error analysis
Microprocessor chips
Degradation
Sensors

All Science Journal Classification (ASJC) codes

  • Automotive Engineering
  • Mechanical Engineering
  • Computer Science Applications

Cite this

Ra, W. S., Lee, H. J., Yoon, T. S., & Park, J. B. (2006). Real-time robust pinch detection algorithm for automotive applications. In Proceedings of ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference (pp. 325-330). [1706762]
Ra, Won Sang ; Lee, Hye Jin ; Yoon, Tae Sung ; Park, Jin Bae. / Real-time robust pinch detection algorithm for automotive applications. Proceedings of ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference. 2006. pp. 325-330
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abstract = "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.",
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Ra, WS, Lee, HJ, Yoon, TS & Park, JB 2006, Real-time robust pinch detection algorithm for automotive applications. in Proceedings of ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference., 1706762, pp. 325-330, ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference, Toronto, ON, Canada, 06/9/17.

Real-time robust pinch detection algorithm for automotive applications. / Ra, Won Sang; Lee, Hye Jin; Yoon, Tae Sung; Park, Jin Bae.

Proceedings of ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference. 2006. p. 325-330 1706762.

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

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N2 - 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.

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Ra WS, Lee HJ, Yoon TS, Park JB. Real-time robust pinch detection algorithm for automotive applications. In Proceedings of ITSC 2006: 2006 IEEE Intelligent Transportation Systems Conference. 2006. p. 325-330. 1706762