Real-Time Signal Denoising Algorithm in Wheel Force Transducer
2014 ◽
Vol 615
◽
pp. 244-247
Keyword(s):
The wheel force transducer (WFT) is used to measure dynamic wheel loads. Unlike other force sensors, WFT is rotating with the wheel. For this reason, the outputs and the inputs of the transducer are nonlinearly related, and traditional Kalman Filter is not suitable. In this paper, a new real-time filter algorithm utilizing Quadrature Kalman Filter (QKF) is proposed to solve this problem. In Quadrature Kalman Filter, Singer model is introduced to track the wheel force, and the observation function is established for WFT. The simulation results illustrate that the new filter outperforms the traditional Unscented Kalman Filter (UKF) and Extended Kalman Filter (EKF).
2020 ◽
pp. 095965182097552
2012 ◽
Vol 2012
◽
pp. 1-12
◽
2005 ◽
Vol 22
(4)
◽
pp. 501-512
◽
Keyword(s):
2022 ◽
Vol 162
◽
pp. 108026
Keyword(s):
2021 ◽
pp. 014233122198911
Keyword(s):
2021 ◽
2018 ◽
Vol 214
◽
pp. 03008
◽