Computer aided derivation and decompositionof
motion equations for a complex mechanical system S.D.Zemlyakov, V.Yu.RutkovskyInstitute of Control Science of V.A.Trapeznikov's name, RAS
Profsoyuznaya 65, 117997, Moscow, Russia
zeml@ipu.ru
This paper deals with the problem of
modeling for a mechanical system with a big number of degree of freedom. The
problem becomes to be essential for a case when a mechanical system changes the
number of degree during its processing and for the goal of control it is
necessary to get a current mathematical model of an object. The paper contains
the mathematical supply for automatic computer solution of this problem. On the
base of this mathematical supply some results of the mathematical model
decomposition are obtained. As an example for a mechanical system a space
robotic module is considered As a
complex we consider a system with some interconnected subsystems. The main
features of such a system are big dimension, uncertainty, informational and
structural limitations. But there is one more particular feature for such a
system: structure and therefore the number of generalized coordinates can be
changed during the operation. So for the goal of control it is arised the
necessity of operative derivation of a current mathematical model (MM) for such
a complex system. MM of a complex mechanical system is usually
multiconnected nonlinear and, in common case, nonstationary. Synthesis of
control algorithms for such an object is not a simple problem. Usual if not a
single method for this goal is decomposition and aggregation. The decomposition
could be realized on "physical" or "mathematical" principles. Automatic
derivation of a current MM for a complex mechanical system, its decomposition
and control algorithms synthesis demand an active inclusion of computing means.
These questions are the subject of the paper. Stanislav D.Zemlyakov, Dr. Sci.(Eng.), Professor, Academician of ANS, Head of Department of the
V.A.Trapeznikov Institute of Control Sciences of RAS. The main of scientific
interest domain: the theory of adaptive coordinate-parametric control by
nonlinear nonstationary objects and its application to aircraft and spacecraft
control. Vladislav Yu.Rutkovsky, Dr. Sci.(Eng.), Professor,
Academician of ANS, Head of Laboratory of the V.A.Trapeznikov Institute of
Control Sciences of RAS. The main of scientific interest domain: the theory of
nonlinear nonstationary objects and its application to aircraft and spacecraft
control. |
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