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In this report the motor side of a converter driven AC-locomotive is studied and modeled. The motor side consists of an asynchronous electrical engine, an indirect self controller, a voltage converter, a Pulse Width Modulator(PWM) and the train mechanics. The converter is supplied with voltage from a DC-link. The link is connected to a line converter which transfers energy from the railway net to
Modelica-TM is an object-oriented language for modeling physical systems that was designed in the last years with the goal to become a standardized multi-domain modeling language. This paper describes a robust model for homogenous and inhomogenous two phase flows with dynamic or static slip correlation. It was developed in the context of developing a Modelica base library for thermo-hydraulic appl
In the presence if poor excitation and abrupt changes of a time-varying system the Recursive least square (RLS) with forgetting factor is not able to track the parameters in a suitable way. The purpose of this thesis is to investigate different kinds of proposals of algorithms to deal with the phenomenons arising, such as estimator windup or too slow convergence of the estimations. Attention is al
The thesis consists of two parts. Registration of Digital Images: Registration of images is a fundamental task in image processing. This is to match two or more images taken, for example, at different times, from different sensors or from different points of view. The methods used to register images are striving for a similarity metric indicating when the images are correctly registered. A similar
Interlinked control loops with asynchronous sampling can give rise to a time varying time delay which varies irregularly. Here we examine ways to model these effects for an arbitary number of control loops, and to build up a probability density function, and current delay, before implementing a controller.
The dual control problem for an integrator with time-varying gain is reviewed. The neuro-dynamic programming technique of approximate policy iteration is explained. It is shown how a version of this technique, which employs a Gaussian radial basis function network, can be used to calculate a good sub-optimal dual controller for the integrator. This controller performs much better than the certaint
