Smooth velocity approximation for constrained systems in real-time simulation

被引:7
作者
Burgermeister, Bernhard [1 ]
Arnold, Martin [2 ]
Eichberger, Alexander [1 ]
机构
[1] SIMPACK AG, D-82205 Gilching, Germany
[2] Univ Halle Wittenberg, NWF II, Inst Math, D-06099 Halle, Saale, Germany
关键词
Model reduction; Equations of motion; Quasi-static; Multi-body formalism; EQUATIONS; INTEGRATION; DYNAMICS;
D O I
10.1007/s11044-011-9243-1
中图分类号
O3 [力学];
学科分类号
08 ; 0801 ;
摘要
The rapidly increasing complexity of multi-body system models in applications like vehicle dynamics, robotics and bio-mechanics requires qualitative new solution methods to slash computing times for the dynamical simulation. Detailed multi-body systems are designed for accurate off-line simulation. For real-time applications or efficient long-term simulations simplified models are used (Rill, G.: J. Braz. Soc. Mech. Sci. XIX(2):192-206 (1997)). In contrast to pure numerical model reduction techniques (Antoulas, A.C.: Approximation of large-scale dynamical systems (2005) and Fehr, J., Eberhard, P.: J. Comput. Nonlinear Dyn. 5:031005 (2010)), the presented quasi-static solution method is based on analytical model reduction combined with adapted numerical methods for evaluating and solving the (reduced) equations of motion efficiently and focuses on accelerated computation of the low frequency parts of the solution of the nonlinear equations of motion by smoothing out the velocities of fast moving low-mass bodies. The high frequency parts are eliminated by neglecting some of the inertia forces and torques. This reduces numerical stiffness and allows larger step-sizes for the time integration. The efficient and real-time capable combination with existing highly efficient algorithms for multi-body dynamics (O(N) multi-body formalisms) requires appropriate integration methods that are adapted to the special structure of the multi-body formalism and solve the nonlinear constraints with a small, limited number of calculation steps.
引用
收藏
页码:1 / 14
页数:14
相关论文
共 17 条
[1]  
[Anonymous], SOLVING ORDINARY DIF
[2]  
[Anonymous], P IFAC IFIP IMACS IN
[3]  
ANTOULAS A. C., 2005, ADV DES CONTROL, DOI 10.1137/1.9780898718713
[4]   HALF-EXPLICIT RUNGE-KUTTA METHODS FOR SEMI-EXPLICIT DIFFERENTIAL-ALGEBRAIC EQUATIONS OF INDEX-1 [J].
ARNOLD, M ;
STREHMEL, K ;
WEINER, R .
NUMERISCHE MATHEMATIK, 1993, 64 (04) :409-431
[5]   Linearly implicit time integration methods in real-time applications: DAEs and stiff ODEs [J].
Arnold, Martin ;
Burgermeister, Bernhard ;
Eichberger, Alexander .
MULTIBODY SYSTEM DYNAMICS, 2007, 17 (2-3) :99-117
[6]  
BURGERMEISTER B, 2010, FORTSCHRITT BERICHTE, V20
[7]   DAE time integration for real-time applications in multi-body dynamics [J].
Burgermeister, Bernhard ;
Arnold, Martin ;
Esterl, Benjamin .
ZAMM-ZEITSCHRIFT FUR ANGEWANDTE MATHEMATIK UND MECHANIK, 2006, 86 (10) :759-771
[8]   Process save reduction by macro joint approach: The key to real time and efficient vehicle simulation [J].
Eichberger, A ;
Rulka, W .
VEHICLE SYSTEM DYNAMICS, 2004, 41 (05) :401-413
[9]   Error-Controlled Model Reduction in Flexible Multibody Dynamics [J].
Fehr, Joerg ;
Eberhard, Peter .
JOURNAL OF COMPUTATIONAL AND NONLINEAR DYNAMICS, 2010, 5 (03) :1-8
[10]  
Petzold L. R., 1982, Report No. SAND-828637