Limits...
Vehicle unpaved road response spectrum acquisition based on accelerometer and GPS data.

Cong N, Shang J, Ren Y, Guo Y - Sensors (Basel) (2012)

Bottom Line: This paper describes a response acquisition system composed of some spindle accelerometers and a time synchronized on-board GPS receiver developed in order to collect the dynamic response of vehicle riding on an unpaved road.The accuracy and limitations of the system have been analyzed, and its validity has been verified by implementing the system on a wheel loader for road response spectrum measuring.This paper offers a practical approach to obtaining unpaved road response spectra for durability road simulation.

View Article: PubMed Central - PubMed

Affiliation: College of Mechanical Engineering and Automation, National University of Defense Technology, Changsha, Hunan 410073, China. congnan.cn@gmail.com

ABSTRACT
This paper describes a response acquisition system composed of some spindle accelerometers and a time synchronized on-board GPS receiver developed in order to collect the dynamic response of vehicle riding on an unpaved road. A method of time-space conversion for calculating the response spectrum is proposed to eliminate the adverse effect of time-varying speed, based on the transform from the equitime sampled spindle acceleration responses to equidistance sampling. By using two groups of independent distance histories acquired from GPS, a method called long-range error correction is proposed to improve the accuracy of the vehicle's distance information, which is critical for the time-space conversion. The accuracy and limitations of the system have been analyzed, and its validity has been verified by implementing the system on a wheel loader for road response spectrum measuring. This paper offers a practical approach to obtaining unpaved road response spectra for durability road simulation.

No MeSH data available.


Distance histories before and after LEC.
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f10-sensors-12-09951: Distance histories before and after LEC.

Mentions: During the acquisition operation, the positioning accuracy is almost as same as it declared. However the speed-measuring accuracy of the GPS receiver at field is a little worse than labeled at about 0.05 m/s for both the bias and standard deviation. Substituting those parameters along with the mean speed calculated from the speed history shown in Figure 9 (10.43 m/s) into Equations (7), (12), (13), it can be concluded that the correction length should be no shorter than 1,252 m. Because of the acquisition road length is longer than the minimum correction length, we use it as correction length for the LEC. Figure 10 gives the whole-journey speed integral distance S1, positioning calculated distance S2 and the calibrated distance history S*. The result shows that, the calibrated history coincides with the speed integral history at first, and approaches the positioning calculated history gradually as the travel distance increases. Known from section 3 of the paper, the corrected history S* will keep a reasonable accuracy of both the total travel length and the adjacent data.


Vehicle unpaved road response spectrum acquisition based on accelerometer and GPS data.

Cong N, Shang J, Ren Y, Guo Y - Sensors (Basel) (2012)

Distance histories before and after LEC.
© Copyright Policy
Related In: Results  -  Collection

License
Show All Figures
getmorefigures.php?uid=PMC3472809&req=5

f10-sensors-12-09951: Distance histories before and after LEC.
Mentions: During the acquisition operation, the positioning accuracy is almost as same as it declared. However the speed-measuring accuracy of the GPS receiver at field is a little worse than labeled at about 0.05 m/s for both the bias and standard deviation. Substituting those parameters along with the mean speed calculated from the speed history shown in Figure 9 (10.43 m/s) into Equations (7), (12), (13), it can be concluded that the correction length should be no shorter than 1,252 m. Because of the acquisition road length is longer than the minimum correction length, we use it as correction length for the LEC. Figure 10 gives the whole-journey speed integral distance S1, positioning calculated distance S2 and the calibrated distance history S*. The result shows that, the calibrated history coincides with the speed integral history at first, and approaches the positioning calculated history gradually as the travel distance increases. Known from section 3 of the paper, the corrected history S* will keep a reasonable accuracy of both the total travel length and the adjacent data.

Bottom Line: This paper describes a response acquisition system composed of some spindle accelerometers and a time synchronized on-board GPS receiver developed in order to collect the dynamic response of vehicle riding on an unpaved road.The accuracy and limitations of the system have been analyzed, and its validity has been verified by implementing the system on a wheel loader for road response spectrum measuring.This paper offers a practical approach to obtaining unpaved road response spectra for durability road simulation.

View Article: PubMed Central - PubMed

Affiliation: College of Mechanical Engineering and Automation, National University of Defense Technology, Changsha, Hunan 410073, China. congnan.cn@gmail.com

ABSTRACT
This paper describes a response acquisition system composed of some spindle accelerometers and a time synchronized on-board GPS receiver developed in order to collect the dynamic response of vehicle riding on an unpaved road. A method of time-space conversion for calculating the response spectrum is proposed to eliminate the adverse effect of time-varying speed, based on the transform from the equitime sampled spindle acceleration responses to equidistance sampling. By using two groups of independent distance histories acquired from GPS, a method called long-range error correction is proposed to improve the accuracy of the vehicle's distance information, which is critical for the time-space conversion. The accuracy and limitations of the system have been analyzed, and its validity has been verified by implementing the system on a wheel loader for road response spectrum measuring. This paper offers a practical approach to obtaining unpaved road response spectra for durability road simulation.

No MeSH data available.