A Lagrange-based generalised formulation for the equations of motion of simple walking models

被引:19
作者
McGrath, Michael [1 ]
Howard, David [2 ]
Baker, Richard [1 ]
机构
[1] Univ Salford, Sch Hlth Sci, Salford M6 6PU, Lancs, England
[2] Univ Salford, Sch Comp Sci & Engn, Salford M5 4WT, Lancs, England
关键词
Gait; Walking; Lagrange; Dynamics; Multipliers; PLANAR MODEL; HUMAN GAIT; DYNAMICS; SUPPORT;
D O I
10.1016/j.jbiomech.2017.02.013
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
Simple 2D models of walking often approximate the human body to multi-link dynamic systems, where body segments are represented by rigid links connected by frictionless hinge joints. Performing forward dynamics on the equations of motion (EOM) of these systems can be used to simulate their movement. However, deriving these equations can be time consuming. Using Lagrangian mechanics, a generalised formulation for the EOM of n-link open-loop chains is derived. This can be used for single support walking models. This has an advantage over Newton-Euler mechanics in that it is independent of coordinate system and prior knowledge of the ground reaction force (GRF) is not required. Alternative strategies, such as optimisation algorithms, can be used to estimate joint activation and simulate motion. The application of Lagrange multipliers, to enforce motion constraints, is used to adapt this general formulation for application to closed-loop chains. This can be used for double support walking models. Finally, inverse dynamics are used to calculate the GRF for these general n-link chains. The necessary constraint forces to maintain a closed-loop chain, calculated from the Lagrange multipliers, are one solution to the indeterminate problem of GRF distribution in double support models. An example of this method's application is given, whereby an optimiser estimates the joint moments by tracking kinematic data. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:139 / 143
页数:5
相关论文
共 16 条
[1]   Individual muscle contributions to support in normal walking [J].
Anderson, FC ;
Pandy, MG .
GAIT & POSTURE, 2003, 17 (02) :159-169
[2]  
Baker R., 2004, Eighth International Symposium on the 3-D Analysis of Human Movement, P101
[3]   Performance of an inverted pendulum model directly applied to normal human gait [J].
Buczek, FL ;
Cooney, KM ;
Walker, MR ;
Rainbow, MJ ;
Concha, MC ;
Sanders, JO .
CLINICAL BIOMECHANICS, 2006, 21 (03) :288-296
[4]   The six determinants of gait and the inverted pendulum analogy: A dynamic walking perspective [J].
Kuo, Arthur D. .
HUMAN MOVEMENT SCIENCE, 2007, 26 (04) :617-656
[5]   Predicting human walking gaits with a simple planar model [J].
Martin, Anne E. ;
Schmiedeler, James P. .
JOURNAL OF BIOMECHANICS, 2014, 47 (06) :1416-1421
[6]  
McGrath M., 2015, COMPUT MATH METHOD M, V2015, P9
[7]   The strengths and weaknesses of inverted pendulum models of human walking [J].
McGrath, Michael ;
Howard, David ;
Baker, Richard .
GAIT & POSTURE, 2015, 41 (02) :389-394
[8]   Forward dynamic human gait simulation using a SLIP target model [J].
Millard, Matthew ;
Kubica, Eric ;
McPhee, John .
IUTAM SYMPOSIUM ON HUMAN BODY DYNAMICS, 2011, 2 :142-157
[9]   A MATHEMATICAL-MODEL FOR THE DYNAMICS OF HUMAN LOCOMOTION [J].
ONYSHKO, S ;
WINTER, DA .
JOURNAL OF BIOMECHANICS, 1980, 13 (04) :361-368
[10]   SYNTHESIS OF HUMAN WALKING - A PLANAR MODEL FOR SINGLE SUPPORT [J].
PANDY, MG ;
BERME, N .
JOURNAL OF BIOMECHANICS, 1988, 21 (12) :1053-1060