Sensitivity analysis and dominant parameter estimation of wheel-terrain interaction model

被引:0
|
作者
Zhou R. [1 ]
Feng W. [1 ]
Deng Z. [1 ]
Gao H. [1 ]
Ding L. [1 ]
Li N. [1 ]
机构
[1] State Key Laboratory for Robotics and System, Harbin Institute of Technology, Harbin
基金
中国国家自然科学基金;
关键词
Analytical model; Dominant parameters; Parameter estimation; Sensitivity analysis; Wheel-terrain interaction;
D O I
10.7527/S1000-6893.2020.24076
中图分类号
学科分类号
摘要
During planetary exploration, the rover demands the capability of terrain characteristic estimation for timely adjustment of control strategies to quickly adapt to terrain changes. For the parameter-coupled wheel-terrain interaction model with complex forms, the Sobol analysis method is adopted to quantitatively analyze the sensitivity of terrain bearing and shearing characteristic parameters in the model, respectively. In consequence, the sinkage exponent and internal fraction angle are selected as the dominant parameters reflecting significant changes in the terrain bearing and shearing characteristics. Based on the mechanics equilibrium equation of wheel-terrain interaction, the analytical model of the dominant parameters is further derived by simplifying the stress distribution formula. By fixing the non-dominant parameters with typical values, the system state parameters and the filtering process are used to realize dominant parameter estimation of the terrain mechanical characteristics. The results show that the proposed analytical model of the dominant terrain mechanical parameters and the corresponding estimation method can quickly follow the change of terrain properties. The average relative error of the sinkage exponent estimation is 2.8% and that of the internal friction angle estimation is smaller than 3%. The estimation results can accurately predict the traction force of the wheels as well as provide necessary information for real-time traction control. © 2021, Beihang University Aerospace Knowledge Press. All right reserved.
引用
收藏
相关论文
共 29 条
  • [1] IAGNEMMA K, DUBOWSKY S., Traction control of wheeled robotic vehicles in rough terrain with application to planetary rovers, The International Journal of Robotics Research, 23, 10-11, pp. 1029-1040, (2004)
  • [2] ISHIGAMI G, NAGATANI K, YOSHIDA K., Slope traversal controls for planetary exploration rover on sandy terrain, Journal of Field Robotics, 26, 3, pp. 264-286, (2009)
  • [3] WELCH R, LIMONADI D, MANNING R., Systems engineering the curiosity rover: A retrospective, 2013 8th International Conference on System of Systems Engineering, pp. 70-75, (2013)
  • [4] ZHAO W J, WANG C., China's lunar and deep space exploration: Touching the moon and exploring the universe, National Science Review, 6, 6, pp. 1274-1278, (2019)
  • [5] LI Y K, DING L, LIU G J., Error-tolerant switched robust extended Kalman filter with application to parameter estimation of wheel-soil interaction, IEEE Transactions on Control Systems Technology, 22, 4, pp. 1448-1460, (2014)
  • [6] MORRIS M D., Factorial sampling plans for preliminary computational experiments, Technometrics, 33, 2, pp. 161-174, (1991)
  • [7] SOBOL I M., Sensitivity estimates for nonlinear mathematical models, Mathematical Modelling and Computational Experiments, 1, 4, pp. 407-414, (1993)
  • [8] MCRAC G J, TILDEN J W, SEINFELD J H., Global sensitivity analysis-A computational implementation of the Fourier amplitude sensitivity test (FAST), Computers & Chemical Engineering, 6, 1, pp. 15-25, (1982)
  • [9] NOSSENT J, ELSEN P, BAUWENS W., Sobol' sensitivity analysis of a complex environmental model, Environmental Modelling & Software, 26, 12, pp. 1515-1525, (2011)
  • [10] ARWADE S R, MORADI M, LOUHGHALAM A., Variance decomposition and global sensitivity for structural systems, Engineering Structures, 32, 1, pp. 1-10, (2010)