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Content Provider | IEEE Xplore Digital Library |
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Author | Won-Sang Ra Hye-Jin Lee Tae-Sung Yoon Jin-Bae Park |
Copyright Year | 2006 |
Description | Author affiliation: Dept. of Electr. & Electron. Eng., Yonsei Univ., Seoul (Won-Sang Ra; Hye-Jin Lee) |
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 $H_{infin}$ state estimation technique. The motivation of this approach comes from the advantage that the $H_{infin}$ 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 $H_{infin}$ 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 (Lee et al., 2005). 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 |
Sponsorship | IEEE IT |
Starting Page | 325 |
Ending Page | 330 |
File Size | 444798 |
Page Count | 6 |
File Format | |
ISBN | 1424400937 |
DOI | 10.1109/ITSC.2006.1706762 |
Language | English |
Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Publisher Date | 2006-09-17 |
Publisher Place | Canada |
Access Restriction | Subscribed |
Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
Subject Keyword | Robustness Detection algorithms Automobiles Torque State estimation Filters Microprocessors Safety Degradation Estimation error |
Content Type | Text |
Resource Type | Article |
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