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Smart Pinch Detection for Car's Electric Sunroof Based on Estimation and Compensation of System Disturbance

Zhaoyang Ai, Ying Zhang, Yingjie Zhang, Yun Feng, Jing Zhang, Yi Lu Murphey


To solve the problems of internal and external disturbances caused by mechanical wear, electrical aging and complex road conditions, a practical and robust pinch detection algorithm is proposed for the anti-pinch control systems of the car’s sunroof. The proposed algorithm makes use of grey theory to predict and compensate the uncertain disturbances. To detect electric sunroof pinch state, a kind of torque rate is selected as the observation state due to the less sensitivity of the torque rate to the uncertainty of the motor’s parameters and supply voltage than the torque or the angular speed. The torque rate is obtained by using angular velocity measurements calculated from the Hall sensor output. To detect the pinched condition, a systematic way to determine the threshold level of the torque rate estimation is also suggested. The experimental results show that our method meets the requirements of European Directive 74/60/ECC, China GB 11552-2009 and America Directive FMVSSll8,and has excellent performances in detecting car’s electric sunroof pinch state.

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Xu, Xiaoxia, Z. Han, and Y. Han. "The optimization design and FEA analysis in car sunroof design." International Conference on Mechatronic Science, Electric Engineering and Computer IEEE, 2011:1411-1414.

Xu, Xiaoxia, et al. "The parameterized model and optimization design based on ADAMS of the motion mechanism of car sunroof." International Conference on Computer, Mechatronics, Control and Electronic Engineering IEEE, 2010:480-483.

Xu, Xiaoxia, et al. "Simulation and analysis of passenger car sunroof motion mechanism." 2009 ieee 10th international conference on computer-aided industrial design & conceptual design 2009:1019-1024.

Guoqi Xie, Gang Zeng, Yan Liu, Jia Zhou, Renfa Li, Keqin Li. “Fast Functional Safety Verification for Distributed Automotive Applications during Early Design Phase”. IEEE Transactions on Industrial Electronics, 2018, Vol 65, (5), pp. 4378 – 4391.

Zhang, Yingjie, et al. "Study on Electric Sunroof Pinch Detection of Cars Based on Model Reference Adaptive Cholesky Decomposition Filter."IEEE Transactions on Transportation Electrification, early online, 2017, DOI: 10.1109/TTE.2017.2755544.

Ra W S, Lee H J, Park J B, et al. Practical Pinch Detection Algorithm for Smart Automotive Power Window Control Systems[J]. Industrial Electronics IEEE Transactions on, 2008, 55(3):1376-1384.

Robert P. Gerbetz, “Method of Compensating for Abrupt Load Changes in an Anti-Pinch Window Control System”, US Patent, US2002/0190680 A1, 2002.

X. de Frutos, “Anti-Pinch Window Control Drive Circuit”, US Patent, US2003/0137265 A1, 2003.

Lu S L, Li M, Liu M L. Design of Power Windows Based on POWERLINK Industrial Ethernet. Applied Mechanics & Materials, 2014, 494-495:28-31.

Chen Z Y, Song G C, Li Q. The Study on Farm Vehicle Electric Window Controller with Anti-Pinch Function. Advanced Materials Research, 2014,912-914:865-868.

Design of Anti-pinch of Electric Window on the Threshold of Automatic Configuration[J]. 2010 2nd International Asia Symposium on Intelligent Interaction and Affective Computing & 2010 2nd International Conference on Innovation Management,2010:414-417.

C. de Angelo, G. Bossio, J. Solsona, G. O. Garcia, and M. I. Valla,“Mechanical sensorless speed control of permanent-magnet AC motors driving an unknown load,”IEEE Trans. Ind. Electron., vol. 53, no. 2,pp. 406–414, Apr. 2006.

M. Barut, S. Bogosyan, and M. Gokasan, “Speed-sensorless estimation for induction motors using extended Kalman filters,” IEEE Trans. Ind. Electron., vol. 54, no. 1, pp. 272–280, Feb. 2007.

Hye-Jin Lee, Tae-Sung Yoon, Won-Sang Ra, et al. Practical pinch detection algorithm for low-cost anti-pinch window control system[C]// IEEE International Conference on Industrial Technology. IEEE, 2005:995-1000.

Yu X, Miao C, Yang H, et al. LMI-Based Method of Robust Fault Detection H∞ Filter for Anti-Pinch of Pure Electric Vehicles[J]. Research Journal of Applied Sciences Engineering & Technology, 2012, 4(15):2555-2563.

Park J H, Ra W S, Jin B P, et al. Real-Time Pinch Detection Algorithm: Robust to Impulsive Noise[J]. International Journal of Control Automation & Systems, 2009, 7(2):185-192.

Li H, Wang X, Liu F, et al. Robust fault detection algorithm for the smart anti-pinch window of pure electric vehicles[J]. Research Journal of Applied Sciences Engineering & Technology, 2013, 5(24):5683-5693.

Park J H, Choi G H, Yoon T S, et al. A sensorless safety power window control system in automotive application[C]// International Conference on Control, Automation and Systems. 2008:1457-1461.

Ra W S. Real-time robust pinch detection algorithm for automotive applications[C]// 2006 IEEE Intelligent Transportation Systems Conference.2006:325-330.

Lee H J, Ra W S, Yoon T S, et al. Practical Pinch Torque Detection Algorithm for Anti-Pinch Window Control System Application[J]. Iccas, 2005:2526-2531.

Lee H J, Ra W S, Yoon T S, et al. Robust pinch estimation and detection algorithm for low-cost anti-pinch window control systems[C]// Industrial Electronics Society, 2005. IECON 2005. Conference of IEEE. 2005:269-274.

DH Ban, Y Kim, S Kim, BH Wang. Anti-pinch Algorithm for Sunroof System Using Fuzzy Logic[C].2005 International Symposium on Advanced Intelligent Systems Sep.28~Oct, 12005,Yeosu, Korea.

Meng, Hongbo, et al. "A Novel Adaptive Grey Predictive Controller Based on Fractional-order Improved Disturbance Observer and its Applications."Journal of Grey System, 2016, 28 (2), p90.

Wu, J., and D. C. Liu. "Calculation of the coefficient of static frequency characteristics of power system based on gray system forecast." Power System Protection & Control 40.6(2012):97-103.

Yang, Jun, et al. "Output-based disturbance rejection control for non-linear uncertain systems with unknown frequency disturbances using an observer backstepping approach." Iet Control Theory & Applications10.9 (2016):1052-1060.

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