Abstract
A practical pinch torque estimator based on the Kalman filter is proposed for low-cost anti-pinch window control systems. To obtain the accurate angular velocity from Hall-effect sensor measurements, the angular velocity calculation algorithm is proposed by including the measurement noise reduction logics. Apart from the previous works based on the angular velocity or torque estimates for detecting the pinched condition, the proposed pinch detection algorithm makes use of the torque rate information. To do this, the torque rate is augmented to the system model and the torque rate estimator is derived by applying the steady-state Kalman filter recursion to the model. The motivation of this approach comes from the idea that the torque rate is less sensitive to the motor parameter uncertainties. Hence, the proposed scheme minimizes the anti-pinch window control system's exposure to the false alarm. To detect the pinched condition, a systematic way to determine the threshold level of the torque rate estimates is also suggested via the deterministic estimation error analysis. Experimental results certify the pinch detection performance of the proposed algorithm and its robustness against the motor parameter uncertainties.
| Original language | English |
|---|---|
| Title of host publication | IECON 2005 |
| Subtitle of host publication | 31st Annual Conference of IEEE Industrial Electronics Society |
| Pages | 269-274 |
| Number of pages | 6 |
| DOIs | |
| Publication status | Published - 2005 Dec 1 |
| Event | IECON 2005: 31st Annual Conference of IEEE Industrial Electronics Society - Raleigh, NC, United States Duration: 2005 Nov 6 → 2005 Nov 10 |
Publication series
| Name | IECON Proceedings (Industrial Electronics Conference) |
|---|---|
| Volume | 2005 |
Other
| Other | IECON 2005: 31st Annual Conference of IEEE Industrial Electronics Society |
|---|---|
| Country | United States |
| City | Raleigh, NC |
| Period | 05/11/6 → 05/11/10 |
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All Science Journal Classification (ASJC) codes
- Control and Systems Engineering
- Electrical and Electronic Engineering
Cite this
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Robust pinch estimation and detection algorithm for low-cost anti-pinch window control systems. / Lee, Hye Jin; Yoon, Tae Sung; Ra, Won Sang; Park, Jin Bae.
IECON 2005: 31st Annual Conference of IEEE Industrial Electronics Society. 2005. p. 269-274 1568915 (IECON Proceedings (Industrial Electronics Conference); Vol. 2005).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
TY - GEN
T1 - Robust pinch estimation and detection algorithm for low-cost anti-pinch window control systems
AU - Lee, Hye Jin
AU - Yoon, Tae Sung
AU - Ra, Won Sang
AU - Park, Jin Bae
PY - 2005/12/1
Y1 - 2005/12/1
N2 - A practical pinch torque estimator based on the Kalman filter is proposed for low-cost anti-pinch window control systems. To obtain the accurate angular velocity from Hall-effect sensor measurements, the angular velocity calculation algorithm is proposed by including the measurement noise reduction logics. Apart from the previous works based on the angular velocity or torque estimates for detecting the pinched condition, the proposed pinch detection algorithm makes use of the torque rate information. To do this, the torque rate is augmented to the system model and the torque rate estimator is derived by applying the steady-state Kalman filter recursion to the model. The motivation of this approach comes from the idea that the torque rate is less sensitive to the motor parameter uncertainties. Hence, the proposed scheme minimizes the anti-pinch window control system's exposure to the false alarm. To detect the pinched condition, a systematic way to determine the threshold level of the torque rate estimates is also suggested via the deterministic estimation error analysis. Experimental results certify the pinch detection performance of the proposed algorithm and its robustness against the motor parameter uncertainties.
AB - A practical pinch torque estimator based on the Kalman filter is proposed for low-cost anti-pinch window control systems. To obtain the accurate angular velocity from Hall-effect sensor measurements, the angular velocity calculation algorithm is proposed by including the measurement noise reduction logics. Apart from the previous works based on the angular velocity or torque estimates for detecting the pinched condition, the proposed pinch detection algorithm makes use of the torque rate information. To do this, the torque rate is augmented to the system model and the torque rate estimator is derived by applying the steady-state Kalman filter recursion to the model. The motivation of this approach comes from the idea that the torque rate is less sensitive to the motor parameter uncertainties. Hence, the proposed scheme minimizes the anti-pinch window control system's exposure to the false alarm. To detect the pinched condition, a systematic way to determine the threshold level of the torque rate estimates is also suggested via the deterministic estimation error analysis. Experimental results certify the pinch detection performance of the proposed algorithm and its robustness against the motor parameter uncertainties.
UR - http://www.scopus.com/inward/record.url?scp=33749653878&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=33749653878&partnerID=8YFLogxK
U2 - 10.1109/IECON.2005.1568915
DO - 10.1109/IECON.2005.1568915
M3 - Conference contribution
AN - SCOPUS:33749653878
SN - 0780392523
SN - 9780780392526
T3 - IECON Proceedings (Industrial Electronics Conference)
SP - 269
EP - 274
BT - IECON 2005
ER -