A Literature Review on Train Motion Model Calibration

The dynamics of a moving train are usually described by means of a motion model based on Newton's second law. This model uses as input track geometry data and train characteristics like mass, the parameters that model the running resistance, the maximum tractive effort and power, and the brake rates to be applied. It can reproduce and predict...

Parameter Identification of a Model Scale Ship Drive Train

Simulation models of the ship propulsion system play an increasingly important role, for instance in controller design and condition monitoring. However, creation of such simulation models requires significant time and effort. In this paper, the application of deterministic identification techniques on a DC-electric ship drive train is explored...

Adaptive predictive path following control based on least squares support vector machines for underactuated autonomous vessels

Since vessel dynamics could vary during maneuvering because of load changes, speed changing, environmental disturbances, aging of mechanism, etc., the performance of model-based path following control may be degraded if the controller uses the same motion model all the time. This article proposes an adaptive path following control method...

Fingerprinting the ship propulsion system: low hanging fruit or mission impossible?

In this paper the concept of ship propulsion system “fingerprinting” is explored as an alternative for data driven models that require extensive measured datasets collected over long periods of ship operation. As a first exploratory step a model of a ship in bollard pull conditions is linearised and its transfer functions are determined....

Estimating driver time-varying neuromuscular admittance through LPV model and grip force

Humans can rapidly change their low-frequency arm dynamics (i.e., stiffness) to resist forces or give way to them. Quantifying driver’s time-varying arm dynamics is important for the development of steer-by-wire systems and haptic driver support systems. Conventional LTI identification, and even time-varying techniques such as wavelets, fail to...

A 3D finite element modeling of hammer test for track parameter identification

In railway tracks, short wave rail surface defects give rise to high wheel-rail dynamic forces and noise. Having a better insight into short wave defect occurrence could lead to development of adapted maintenance methods or track design to delay or avoid defect, so that the high short wave defect related maintenance costs may be reduced. As part...

Lagrangian data assimilation for river hydraulics simulations

We present a method to use lagrangian data from remote sensing observation in a data assimilation process for parameters identification in a river hydraulics model based on the bidimensional shallow water equations. The trajectories of particles advected by the flow can be extracted from video images and are used in addition to classical...

Methoden voor het verbeteren van dynamische modellen van constructies

A survey of computational methods to improve dynamic analytical models described in the literature is made. Both the matrix methods and the optimal correction method of the dynamic model using the measured modes are discussed.

Three-dimensional flight-path reconstruction by means of spline approximation

In NLR TR 82075 U, a method has been developed to reconstruct the flight-path of a symmetric flight, by representing this path by a set of splines. In the present report, the same method is being applied to a three-dimensional flight over a rotating earth. Preliminary results are comparable in accuracy and computing time to the Kalman (Square...