Proceedings of the 10th International Modelica Conference, March 10-12, 2014, Lund, Sweden

Acquatella, Paul; Reiner, Matthias

doi:10.3384/ecp14096

Cited by 6 publications

(3 citation statements)

References 11 publications

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“…There is some freedom in choosing a coordinate system for studying any specific devices and a specific task and the desired form of equations of motion usually dictate this choice. The true coordinates shall be used when choosing the Lagrange function to record the equations of motion [27].…”

Section: Development Of Requirements For the Magnetic Structure And Pmentioning

confidence: 99%

Determination of Parameters of Asynchronous Electric Machines with Asymmetrical Windings of Electric Locomotives

Goolak¹,

Gerlici²,

Tkachenko³

et al. 2019

Komunikácie

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This article is devoted to development of a method for calculating the parameters of an asynchronous motor of an electric locomotive with asymmetrical windings of stator and rotor. A method for determining self and mutual inductances of the stator and rotor phases of an asynchronous motor with asymmetric windings and their relations to mechanical variables is proposed. It is based on comparing two equations of stored magnetic energy, one equation calculated through induction, magnetic field strength and geometrical dimensions and another equation calculated through the parameters of the motor circuits. It is shown that the obtained solutions correspond to the previously existing methods, but they give the additional possibilities in mathematical modeling. The proposed technical solution allows higher accuracy developing of a mathematical model of a drive with an asynchronous motor having asymmetrical stator and rotor windings for studying dynamic processes during the operation of the specified drive, in particular, the drive of auxiliary machines for electric locomotive, where an asynchronous motor with asymmetrical stator windings is used as a phase release.

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Section: Development Of Requirements For the Magnetic Structure And Pmentioning

confidence: 99%

Determination of Parameters of Asynchronous Electric Machines with Asymmetrical Windings of Electric Locomotives

Goolak¹,

Gerlici²,

Tkachenko³

et al. 2019

Komunikácie

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“…The standard Modelica language is used by several thousand developers including people developing large industrial applications, many of which are described in Modelica conference proceedings [10,26,32,102,146].…”

Section: Introductionmentioning

confidence: 99%

Tools and Methods for Analysis, Debugging, and Performance Improvement of Equation-Based Models

Sjölund¹

2015

Linköping Studies in Science and Technology. Dissertations

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Equation-based object-oriented (EOO) modeling languages such as Modelica provide a convenient, declarative method for describing models of cyber-physical systems. Because of the ease of use of EOO languages, large and complex models can be built with limited effort. However, current state-of-the-art tools do not provide the user with enough information when errors appear or simulation results are wrong. It is of paramount importance that such tools should give the user enough information to correct errors or understand where the problems that lead to wrong simulation results are located. However, understanding the model translation process of an EOO compiler is a daunting task that not only requires knowledge of the numerical algorithms that the tool executes during simulation, but also the complex symbolic transformations being performed.As part of this work, methods have been developed and explored where the EOO tool, an enhanced Modelica compiler, records the transformations during the translation process in order to provide better diagnostics, explanations, and analysis. This information is used to generate better error-messages during translation. It is also used to provide better debugging for a simulation that produces unexpected results or where numerical methods fail.Meeting deadlines is particularly important for real-time applications. It is usually essential to identify possible bottlenecks and either simplify the model or give hints to the compiler that enable it to generate faster code. When profiling and measuring execution times of parts of the model the recorded information can also be used to find out why a particular system model executes slowly.Combined with debugging information, it is possible to find out why this system of equations is slow to solve, which helps understanding what can be done to simplify the model. A tool with a graphical user interface has been developed to make debugging and performance profiling easier. Both debugging and profiling have been combined into a single view so that performance metrics are mapped to equations, which are mapped to debugging information.The algorithmic part of Modelica was extended with meta-modeling constructs (MetaModelica) for language modeling. In this context a quite general approach to debugging and compilation from (extended) Modelica to C code was developed. That makes it possible to use the same executable format for simulation executables as for compiler bootstrapping when the compiler written in MetaModelica compiles itself.Finally, a method and tool prototype suitable for speeding up simulations has been developed. It works by partitioning the model at appropriate places and compiling a simulation executable for a suitable parallel platform. Populärvetenskaplig sammanfattningSom ingenjör lär man sig att förstå världen genom ekvationer. För att beskriva eller modellera ett fysikaliskt system, till exempel vid utveckling av en produkt, vill ingenjören använda sig av de ekvationer som han eller hon lärt sig från böcker eller fö...

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“…In Modelica ready-to-use libraries exist to perform whole building energy simulation for model-based design (e.g. Constantin et al, 2014;De Coninck et al, 2014;Wetter et al, 2014). However, difficulties occurring during the transition process from design to commissioning stage of model-based control algorithms remain unsolved.…”

Section: Introductionmentioning

confidence: 99%

Hardware-in-the-Loop-Simulation of a Building Energy and Control System to Investigate Circulating Pump Control Using Modelica

Schneider

Oppermann

Constantin

et al. 2015

Linköping Electronic Conference Proceedings

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This paper presents an application of the hardware-inthe-loop-method to a building energy and control system. We focus on investigating the interaction of a real circulating pump with the hydronic network of a virtual building energy and control system. For real-time simulation the building envelope is modelled using the Modelica-based library AixLib. With the presented setup model-based designed control algorithms are tested directly on real hardware. The performance of the presented and implemented setup is evaluated by comparing simulated results with experimental hardware-in-the-loopsimulation data. The main focus of this work is to evaluate the application of the method towards bridging the gap between model-based design and commissioning of energy efficient control for heating ventilation and air conditioning (HVAC) components.Hardware-in-the-loop-(HIL-) simulation is a method to bridge the gap between simulation and real hardware

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Proceedings of the 10th International Modelica Conference, March 10-12, 2014, Lund, Sweden

Cited by 6 publications

References 11 publications

Determination of Parameters of Asynchronous Electric Machines with Asymmetrical Windings of Electric Locomotives

Determination of Parameters of Asynchronous Electric Machines with Asymmetrical Windings of Electric Locomotives

Tools and Methods for Analysis, Debugging, and Performance Improvement of Equation-Based Models

Hardware-in-the-Loop-Simulation of a Building Energy and Control System to Investigate Circulating Pump Control Using Modelica

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