Design and optimization of a self-decoupled six-axis wheel force transducer for a heavy truck

Author(s):  
Lihang Feng ◽  
Guoyu Lin ◽  
Weigong Zhang ◽  
Han Pang ◽  
Tie Wang
2014 ◽  
Vol 615 ◽  
pp. 244-247
Author(s):  
Dong Wang ◽  
Guo Yu Lin ◽  
Wei Gong Zhang

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).


2011 ◽  
Author(s):  
Linbo Zhang ◽  
Hongling Liu ◽  
Hongtao Zhang ◽  
Youzhong Xu

PLoS ONE ◽  
2015 ◽  
Vol 10 (2) ◽  
pp. e0118249 ◽  
Author(s):  
Lihang Feng ◽  
Guoyu Lin ◽  
Weigong Zhang ◽  
Dong Dai

Measurement ◽  
2016 ◽  
Vol 77 ◽  
pp. 203-212 ◽  
Author(s):  
Dong Wang ◽  
Guoyu Lin ◽  
Weigong Zhang ◽  
Tao Jiang

2019 ◽  
Author(s):  
Rajendra S. More ◽  
Chetan Raval ◽  
Vinayak Trigune

2015 ◽  
Vol 15 (2) ◽  
pp. 1043-1054 ◽  
Author(s):  
Guoyu Lin ◽  
Dong Wang ◽  
Weigong Zhang ◽  
Dong Dai

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