Petter Krus

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The current development towards multiple processor cores in personal computers is making distribution and paral-lelization of simulation software increasingly important. The possible speedups from parallelism are however often limited with the current centralized solver algorithms, which are commonly used in today's simulation environments. An alternative(More)
—In steering-related active safety systems, active steering is a key component. Active steering refers to the possibility to control the road wheel angle or the required torque to turn the wheels by means of an electronic signal. Due to the high axle loads in heavy vehicles, hydraulic power is needed to assist the driver in turning the wheels. One solution(More)
Several approaches exist for modelling of physical systems, often implemented in a modelling language. Due to differences in modelling approaches, it is a complicated procedure to interchange information between different modelling languages, documents or applications. This puts a constraint on what the users can do in terms of custom simulators and on what(More)
This paper presents a control system based on linear quadratic state feedback and state estimation for an hydraulic actuator with a exible mechanical load. The purpose of the control system is to improve the dynamic properties by reducing the oscillatory behavior of the load and to eliminate the steady state error in the load position caused by external(More)
This paper describes how models from different simulation tools can be connected and simulated on different processors by using the Functional Mockup Interface (FMI) and the transmission line element method (TLM). Interconnectivity between programs makes it possible to model each part of a complex system with the best suited tool, which will shorten the(More)
In this paper, the system simulation model is discussed from an engineering design perspective. Special emphasis will be given Modelica models, and it is exemplified how computational design methods operate on the simulation model in order to evaluate different concepts. Model based design optimization and probabilistic analysis are discussed as examples of(More)