Extending the Modified Inertia Representation to Constrained Rigid Multibody Systems

被引:6
作者
Xu, X. M. [1 ]
Luo, J. H. [1 ]
Wu, Z. G. [1 ]
机构
[1] Sun Yat Sen Univ, Sch Aeronaut & Astronaut, 132 East Waihuan Rd, Guangzhou 510006, Peoples R China
来源
JOURNAL OF APPLIED MECHANICS-TRANSACTIONS OF THE ASME | 2020年 / 87卷 / 01期
基金
中国国家自然科学基金;
关键词
multibody system; differential algebraic equations (DAEs); holonomic constraints; Moore-Penrose generalized inversion (MPGI); augmented Lagrangian formulation; variational integrator; computational mechanics; dynamics; LAGRANGIAN FORMULATION; DYNAMICS; EQUATIONS; MOTION; INTEGRATION; UNIQUENESS; ALGORITHM; FORCES;
D O I
10.1115/1.4045001
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
The inertia representation of a constrained system includes the formulation of the kinetic energy and its corresponding mass matrix, given the coordinates of the system. The way to find a proper inertia representation achieving better numerical performance is largely unexplored. This paper extends the modified inertia representation (MIR) to the constrained rigid multibody systems. By using the orthogonal projection, we show the possibility to derive the MIR for many types of non-minimal coordinates. We present examples of the derivation of the MIR for both planar and spatial rigid body systems. Error estimation shows that the MIR is different from the traditional inertia representation (TIR) in that its parameter. can be used to reduce the kinetic energy error. With preconditioned., numerical results show that the MIR consistently presents significantly higher numerical accuracy and faster convergence speed than the TIR for the given variational integrator. The idea of using different inertia representations to improve the numerical performance may go beyond constrained rigid multibody systems to other systems governed by differential algebraic equations.
引用
收藏
页数:15
相关论文
共 39 条
[2]  
[Anonymous], NONLINEAR DYN
[3]   AN EXCURSION INTO LARGE ROTATIONS [J].
ARGYRIS, J .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 1982, 32 (1-3) :85-&
[4]  
BAYO E, 1994, NONLINEAR DYNAM, V5, P209
[5]   Augmented Lagrangian and mass-orthogonal projection methods for constrained multibody dynamics [J].
Bayo, E ;
Ledesma, R .
NONLINEAR DYNAMICS, 1996, 9 (1-2) :113-130
[6]   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
[7]   Constrained integration of rigid body dynamics [J].
Betsch, P ;
Steinmann, P .
COMPUTER METHODS IN APPLIED MECHANICS AND ENGINEERING, 2001, 191 (3-5) :467-488
[8]   Augmented Lagrangian formulation: Geometrical interpretation and application to systems with singularities and redundancy [J].
Blajer, W .
MULTIBODY SYSTEM DYNAMICS, 2002, 8 (02) :141-159
[9]   Unique minimum norm solution to redundant reaction forces in multibody systems [J].
Callejo, Alfonso ;
Gholami, Farnood ;
Enzenhofer, Andreas ;
Kovecses, Jozsef .
MECHANISM AND MACHINE THEORY, 2017, 116 :310-325
[10]  
David Bau I., 1997, NUMERICAL LINEAR ALG