USING SYMBOLIC PROCEDURES OPTIMIZED FOR DYNAMIC SIMULATION SYSTEMS THROUGH BOND-GRAPHAuthor:
ROMERO REY GREGORIO.
Year:
2005.
University:
POLITÉCNICA DE MADRID [
www.upm.es].
Place of defense: E.T.SUP. INGENIEROS INDUSTRIALES.
Place of preparation: E.T.S.I. INDUSTRIALES.
Summary: Efforts in the automated method Bond-Graph in recent years focused on solving the problem of the coordinates that appear frequently dependent on the mechanical systems, electrical and thermal. The development of this thesis is focused on providing a causal allocation algorithm specially designed to allow maximum freedom to modeler, but it will have to worry about the resolubilidad or not the system, and without having to take any decision that might affect the final calculation, so as to solve our problems in the simulation models with differential causality without having to modify the chart graph. In addition, it reduces the maximum set of differential equations necessary to carry out the simulation through the elimination of algebraic equations system DAEs in cases where possible. This will decrease the time of computation used in the simulation. Moreover, we propose a method for the automatic generation of optimized and the equations of state necessary for the analysis of linear and nonlinear systems, made by the technique of Bond-Graph. Construction of these equations is performed using techniques of symbolic computation. This will have the equations of the system in a format that facilitates its subsequent use to solve problems or sensitivity optimization. This method takes into account both the non-linearities geometric presenting mechanical systems (discussed by elements transformer and gyrator reason variable), as the non-linear behavior of elementary building blocks (inertia, and resistance springs). Finally, in order to demonstrate the effectiveness of proposed algorithms, has developed a code for the simulation of dynamic systems using the technique of Bond-Graph in Windows environment, which implements the proposals along the thesis and modeling enables both combined using graphs, functions, variables and conditional sentences, as the presentation of differential equations and algebraic end in a symbolic way, all in a friendly environment and allowing postprocesar easily the results of simulations made without having to perform after a compilation.