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Toward Understanding the Errors in Online Air-Ride Suspension Based Weight Estimation

Published by the American Society of Agricultural and Biological Engineers, St. Joseph, Michigan

Citation:  Paper number  141897468,  2014 Montreal, Quebec Canada July 13 – July 16, 2014. (doi: 10.13031/aim.20141897468) @2014
Authors:   Andrew D. Balmos, Alexander W. Layton, Aaron Ault, James V. Krogmeier, Dennis R. Buckmaster
Keywords:   Vehicle Weight, Weight Estimation, Weigh-in-Motion, Air-Ride, Air-spring, Dynamic Motion Model.

Abstract. It has been previously shown that the weight of a vehicle can be accurately estimated from pressure measurements in its air-bag suspension with just limited calibration. However, because the current state-of-the-art does not account for possible suspension dynamics, the vehicle must, in general, be static and on flat level ground. This work presents progress toward overcoming this limitation, thus, enabling activities such as yield mapping silage or stover and on-the-fly in-field calibration of classical yield monitors.

The first part of this work presents an overview of a trailing-arm air-ride suspension assembly and provides data gathered from a semi-tractor-trailer as evidence that the originally proposed algorithm is very capable in static conditions, but has significant error when the vehicle is in motion. Suspension dynamics from road variations cause fluctuations in the air-ride’s air-spring pressure and therefore fluctuations in the weight estimation.

To further understand how the pressure signal is affected, the second part of this work develops a dynamic model for the motion of a trailing-arm air-ride suspension. It also demonstrations a method of randomly generating a road surface for use when simulating the model.

Further work of modeling the source and forms of the pressure noise, and developing a filter to reduce the noise’s effects is still required.

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