TY - GEN
T1 - Terrain mechanical parameters online estimation for lunar rovers
AU - Liu, Bing
AU - Cui, Pingyuan
AU - Ju, Hehua
PY - 2007
Y1 - 2007
N2 - This paper presents a new method for terrain mechanical parameters estimation for a wheeled lunar rover. First, after deducing the detailed distribution expressions of normal stress and sheer stress at the wheel-terrain interface, the force/torque balance equations of the drive wheel for computing terrain mechanical parameters is derived through analyzing the rigid drive wheel of a lunar rover which moves with uniform speed in deformable terrain. Then a two-points Guass-Lengendre numerical integral method is used to simplify the balance equations, after simplifying and rearranging the resolve model are derived which are composed of three non-linear equations. Finally the iterative method of Newton and the steepest descent method are combined to solve the non-linear equations, and the outputs of on-board virtual sensors are used for computing terrain key mechanical parameters i.e. internal friction angle and press-sinkage parameters. Simulation results show correctness under high noises disturbance and effectiveness with low computational complexity, which allows a lunar rover for online terrain mechanical parameters estimation.
AB - This paper presents a new method for terrain mechanical parameters estimation for a wheeled lunar rover. First, after deducing the detailed distribution expressions of normal stress and sheer stress at the wheel-terrain interface, the force/torque balance equations of the drive wheel for computing terrain mechanical parameters is derived through analyzing the rigid drive wheel of a lunar rover which moves with uniform speed in deformable terrain. Then a two-points Guass-Lengendre numerical integral method is used to simplify the balance equations, after simplifying and rearranging the resolve model are derived which are composed of three non-linear equations. Finally the iterative method of Newton and the steepest descent method are combined to solve the non-linear equations, and the outputs of on-board virtual sensors are used for computing terrain key mechanical parameters i.e. internal friction angle and press-sinkage parameters. Simulation results show correctness under high noises disturbance and effectiveness with low computational complexity, which allows a lunar rover for online terrain mechanical parameters estimation.
KW - Force/torque sensor
KW - Internal friction angle
KW - Mechanical parameter
KW - Press-sinkage parameter
UR - https://www.scopus.com/pages/publications/42949126325
U2 - 10.1117/12.775264
DO - 10.1117/12.775264
M3 - Conference contribution
AN - SCOPUS:42949126325
SN - 9780819469601
T3 - Proceedings of SPIE - The International Society for Optical Engineering
BT - Second International Conference on Space Information Technology
T2 - 2nd International Conference on Space Information Technology
Y2 - 10 November 2007 through 11 November 2007
ER -