Accurate pinch detection using recent finite measurements for automotive anti-pinch sunroof systems

This paper proposes a novel pinch detection method based on finite impulse response (FIR) filtering for automotive anti-pinch sunroof systems (APSS). In the proposed method, the squeezing force is estimated via FIR filtering, which uses finite recent measurements from a low-cost Hall sensor. The FIR filter is more robust against parameter uncertainties in state-space models of the sunroof motor compared to the Kalman filter. The FIR filter also exhibits a relatively faster tracking speed when the squeezing force rises abruptly in a pinch situation. An experimental APSS was constructed to demonstrate the proposed pinch detection is more accurate than conventional methods.

[1]  Myo-Taeg Lim,et al.  Self-recovering extended Kalman filtering algorithm based on model-based diagnosis and resetting using an assisting FIR filter , 2016, Neurocomputing.

[2]  Hye-Jin Lee,et al.  Practical Pinch Detection Algorithm for Smart Automotive Power Window Control Systems , 2008, IEEE Transactions on Industrial Electronics.

[3]  Myo-Taeg Lim,et al.  Improving Reliability of Particle Filter-Based Localization in Wireless Sensor Networks via Hybrid Particle/FIR Filtering , 2015, IEEE Transactions on Industrial Informatics.

[4]  Myo Taeg Lim,et al.  Horizon group shift FIR filter: Alternative nonlinear filter using finite recent measurements , 2014 .

[5]  Peng Shi,et al.  Accurate and Reliable Human Localization Using Composite Particle/FIR Filtering , 2017, IEEE Transactions on Human-Machine Systems.

[6]  Choon Ki Ahn,et al.  Strictly passive FIR filtering for state-space models with external disturbance , 2012 .

[7]  Peng Shi,et al.  Distributed Hybrid Particle/FIR Filtering for Mitigating NLOS Effects in TOA-Based Localization Using Wireless Sensor Networks , 2017, IEEE Transactions on Industrial Electronics.

[8]  Myo-Taeg Lim,et al.  Fuzzy horizon group shift FIR filtering for nonlinear systems with Takagi-Sugeno model , 2016, Neurocomputing.

[9]  Wook Hyun Kwon,et al.  $cal H_infty$FIR Filters for Linear Continuous-Time State–Space Systems , 2006, IEEE Signal Processing Letters.

[10]  Myo-Taeg Lim,et al.  Switching Extensible FIR Filter Bank for Adaptive Horizon State Estimation With Application , 2016, IEEE Transactions on Control Systems Technology.

[11]  Myo Taeg Lim,et al.  Weighted average extended FIR filter bank to manage the horizon size in nonlinear FIR filtering , 2015 .

[12]  Choon Ki Ahn,et al.  A new solution to the induced l∞ finite impulse response filtering problem based on two matrix inequalities , 2014, Int. J. Control.