Solving inverted pendulum by co-simulation between multi-body solver MotionSolve and signal processing control in solidThinking Activate. The simulation of inverted pendulum uses an innovative model of friction which is physically and mathematically more accurate than usual CAE friction models. This model of friction adds nonlinearity to the system. Two types of controlling mechanism for active balancing of inverted pendulum are used: PID and ANN controller. A non-traditional false angular deviation approach for returning a cart to its initial position was used.
The theory of elasticity is a very important discipline which has a lot of applications in science and engineering. In this paper we are interested in elastic materials with different properties between interfaces implicated the discontinuous coefficients in the governing elasticity equations. The main aim is to develop a practical numerical scheme for modeling the behaviour of a simplified piecewise homogeneous medium subjected to an external action in 2D domains. Therefore, the discontinuous Galerkin method is used for the simulation of elastic waves in such elastic materials. The special attention is also paid to treatment of boundary and interface conditions. For the treatment of the time dependency the implicit Euler method is employed. Moreover, the limiting procedure is incorporated in the resulting numerical scheme in order to overcome nonphysical spurious overshoots and undershoots in the vicinity of discontinuities in discrete solutions. Finally, we present computational results for two-component material, representing a planar elastic body subjected to a mechanical hit or mechanical loading.
The article contains an example detailing the application and analysis of the accuracy of the method called continuous dynamic vehicle weighing during travel, using the telematic system. A model was built using the input data obtained through laboratory experiments on a running vehicle. This model was then applied to study the effects of error probability for the measured input data on the resulting expected accuracy of vehicle weight measuring in a normal running regime. Based on this point, hereby presented is a proposal of selected measured variables of great importance, and a proposal for the computation relationship of the used variables. By statistically processing a set of measured data taken during one vehicle travel, it is possible to attain -10.7% extreme relative error of the given method for the dynamic determination of vehicle weight.