DocumentCode :
1828429
Title :
Optimal synthesis of mechanical systems using natural coordinates
Author :
Xiufeng Li ; Yabin Wang ; Xiaofeng Li
Author_Institution :
Beijing Inst. of Technol., Beijing, China
fYear :
2013
fDate :
Aug. 31 2013-Sept. 2 2013
Firstpage :
315
Lastpage :
321
Abstract :
This paper presents a comprehensive optimal design procedure for constrained dynamic systems formulated with natural coordinates. Natural coordinates formulation has linear (or quadratic) kinematic constraints in terms of generalized coordinates, sparse and simple generalized mass matrix, as well as explicit form of design variables in the coordinate transformations. It is particularly suitable for optimization related problems of multibody systems. The direct differentiation method is used to calculate the first order design sensitivity of the objective function during the optimization process. The motion equations and the sensitivity equations of the constrained systems share with the same Jacobian matrix, therefore they can be integrated simultaneously using the general-α algorithm. A slider-crank mechanism is provided to illustrate effectiveness of this method for obtaining the optimal synthesis of a multibody system.
Keywords :
Jacobian matrices; differentiation; kinematics; optimisation; sensitivity analysis; Jacobian matrix; constrained systems; design; direct differentiation method; dynamic systems; general-α algorithm; kinematic constraints; mechanical systems; motion equations; natural coordinates; optimal synthesis; optimization process; sensitivity equations; slider-crank mechanism; Equations; Heuristic algorithms; Kinematics; Mathematical model; Optimization; Sensitivity; Vectors; Optimal synthesis; multibody systems; natural coordinates; sensitivity analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Modelling, Identification & Control (ICMIC), 2013 Proceedings of International Conference on
Conference_Location :
Cairo
Print_ISBN :
978-0-9567157-3-9
Type :
conf
Filename :
6642218
Link To Document :
بازگشت