TY - GEN
T1 - Soil estimation based on dissipation energy during autonomous excavation
AU - Mohseni-Vahed, Shahram
AU - Althoefer, Kaspar
AU - Seneviratne, Lakmal D.
AU - Song, Xiaojing
AU - Dai, J. S.
AU - Lam, H. K.
N1 - Funding Information:
The authors would like to acknowledge the support of Dr. G. Halikias at City University London.
PY - 2008
Y1 - 2008
N2 - This paper describes a new algorithm for the estimation of soils into different types employing an energy-based approach. Greatly simplifying the modeling of the tool-soil interaction process, energy components occurring during a dig are computed from simple force and bucket displacement measurements. In particular, the dissipation energy can be estimated allowing a prediction of the dynamic friction forces encountered during soil-tool interaction in the field of excavation. The proposed method measures force and displacement simultaneously during the extensively horizontal dragging phase while continuously recalculating the velocity, accumulated moved soil mass and total dissipation energy, creating a specific profile depending on the soil conditions. The creation of these profiles could be useful in providing information to a low level controller able to distinguish between different types soils. The method can thus be seen as an important component allowing robust and noise-free feedback in autonomous control in excavator vehicles.
AB - This paper describes a new algorithm for the estimation of soils into different types employing an energy-based approach. Greatly simplifying the modeling of the tool-soil interaction process, energy components occurring during a dig are computed from simple force and bucket displacement measurements. In particular, the dissipation energy can be estimated allowing a prediction of the dynamic friction forces encountered during soil-tool interaction in the field of excavation. The proposed method measures force and displacement simultaneously during the extensively horizontal dragging phase while continuously recalculating the velocity, accumulated moved soil mass and total dissipation energy, creating a specific profile depending on the soil conditions. The creation of these profiles could be useful in providing information to a low level controller able to distinguish between different types soils. The method can thus be seen as an important component allowing robust and noise-free feedback in autonomous control in excavator vehicles.
KW - Identification and control methods
KW - Modelling
KW - Rule-based approaches
UR - http://www.scopus.com/inward/record.url?scp=79961019660&partnerID=8YFLogxK
U2 - 10.3182/20080706-5-KR-1001.3883
DO - 10.3182/20080706-5-KR-1001.3883
M3 - Conference contribution
AN - SCOPUS:79961019660
SN - 9783902661005
T3 - IFAC Proceedings Volumes (IFAC-PapersOnline)
BT - Proceedings of the 17th World Congress, International Federation of Automatic Control, IFAC
T2 - 17th World Congress, International Federation of Automatic Control, IFAC
Y2 - 6 July 2008 through 11 July 2008
ER -