A unified approach for inverse and direct dynamics of constrained multibody systems based on linear projection operator: Applications to control and simulation

被引:117
作者
Aghili, F [1 ]
机构
[1] Canadian Space Agcy, St Hubert, PQ J3Y 8Y9, Canada
关键词
constrained multibody systems; constraint motion control; hybrid force/motion control;
D O I
10.1109/TRO.2005.851380
中图分类号
TP24 [机器人技术];
学科分类号
080202 ; 1405 ;
摘要
This paper presents a unified approach for inverse and direct dynamics of constrained multibody systems that can serve as a basis for analysis, simulation, and control. The main advantage of the dynamics formulation is that it does not require the constraint equations to be linearly independent. Thus, a simulation may proceed even in the presence of redundant constraints or singular configurations, and a controller does not need to change its structure whenever the mechanical system changes its topology or number of degrees of freedom. A motion-control scheme is proposed based on a projected inverse-dynamics scheme which proves to be stable and minimizes the weighted Euclidean norm of the actuation force. The projection-based control scheme is further developed for constrained systems, e.g., parallel manipulators, which have some joints with no actuators (passive joints). This is complemented by the development of constraint force control. A condition on the inertia matrix resulting in a decoupled mechanical system is analytically derived that simplifies the implementation of the force control. Finally, numerical and experimental results obtained from dynamic simulation and control of constrained mechanical systems, based on the proposed inverse and direct dynamics formulations, are documented.
引用
收藏
页码:834 / 849
页数:16
相关论文
共 64 条
[1]  
Aghili F, 2003, IEEE INT CONF ROBOT, P4035
[2]  
Angeles J., 2020, Fundamentals of Robotic Mechanical Systems: Theory, Methods, and Algorithms
[3]  
ANGELES J, 2003, METHODOLOGY OPTIMUM, P190
[4]  
Ascher U. M., 1998, Computer methods for ordinary differential equations and differential-algebraic equations, DOI DOI 10.1137/1.9781611971392
[5]  
Baumgarte J., 1972, Computer Methods in Applied Mechanics and Engineering, V1, P1, DOI 10.1016/0045-7825(72)90018-7
[6]   Augmented Lagrangian and mass-orthogonal projection methods for constrained multibody dynamics [J].
Bayo, E ;
Ledesma, R .
NONLINEAR DYNAMICS, 1996, 9 (1-2) :113-130
[7]   A MODIFIED LAGRANGIAN FORMULATION FOR THE DYNAMIC ANALYSIS OF CONSTRAINED MECHANICAL SYSTEMS [J].
BAYO, E ;
DEJALON, JG ;
SERNA, MA .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 1988, 71 (02) :183-195
[8]   An SVD-based projection method for interpolation on SE(3) [J].
Belta, C ;
Kumar, V .
IEEE TRANSACTIONS ON ROBOTICS AND AUTOMATION, 2002, 18 (03) :334-345
[9]  
BENISRAEL A, 1980, GENERALIZED INVERSE
[10]  
Bicchi A, 2001, IEEE INT CONF ROBOT, P2319, DOI 10.1109/ROBOT.2001.932968