TY - GEN

T1 - Practical pinch detection algorithm for low-cost anti-pinch window control system

AU - Lee, Hye Jin

AU - Yoon, Tae Sung

AU - Ra, Won Sang

AU - Park, Jin Bae

PY - 2005

Y1 - 2005

N2 - A practical pinch torque estimator based on the H∞, filter is proposed for low-cost anti-pinch window control systems. To obtain the acceptable angular velocity measurements from Hall-effect sensor outputs, the angular velocity calculation algorithm is proposed with 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 H∞ 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. Moreover, the statistics of modelling errors and angular velocity measurement noises are actually unknown. 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 H∞, filter is proposed for low-cost anti-pinch window control systems. To obtain the acceptable angular velocity measurements from Hall-effect sensor outputs, the angular velocity calculation algorithm is proposed with 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 H∞ 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. Moreover, the statistics of modelling errors and angular velocity measurement noises are actually unknown. 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.

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U2 - 10.1109/ICIT.2005.1600781

DO - 10.1109/ICIT.2005.1600781

M3 - Conference contribution

AN - SCOPUS:33847304494

SN - 0780394844

SN - 9780780394841

T3 - Proceedings of the IEEE International Conference on Industrial Technology

SP - 995

EP - 1000

BT - 2005 IEEE International Conference on Industrial Technology, ICIT 2005

T2 - 2005 IEEE International Conference on Industrial Technology, ICIT 2005

Y2 - 14 December 2005 through 17 December 2005

ER -