Simulation & Modelling

for complex projects

Understanding correlations and finding optimal solutions

In the development and optimization of technical systems, a profound understanding of the fundamental principles and correlations is necessary to find the optimum solutions. We facilitate an integrated approach by offering our services for in-depth analysis, analytical modelling, and computer-aided simulation. We work on projects in a wide variety of areas and we can draw on many years of experience in modelling and simulation.

Analyzing data and identifying dynamic phenomena

Engineer from TCCT analyses a diagram on a laptop with simulation of measurement data

  • Processing and analysis of measurement data (in the time domain, the frequency domain, and statistically)

  • Setting up systems of equations representing physical phenomena

  • Creating principle models

Examples: Interaction between a vehicle and its respective track system, behaviour of a ship at sea, behaviour of a cross-industry plant network

Modelling and simulation

Engineers discuss a complex simulation model displayed in the background

  • Creation of detailed simulation models of mechanical, electrical, magnetic, thermodynamic subsystems

  • Coupling of subsystems to composite models – classically or by means of co-simulation

  • Analysis of motion behavior and dynamic state progressions

  • Prediction of expected dynamics

Examples: Determination of ride comfort or energy consumption, compliance with actuation limits, vibration analysis, etc.

Developing and dimensioning of control algorithms

Tablet computer being hold, displaying simulation of a control algorithm including key figures

  • Design of hierarchical control concepts

  • Analysis of linear and nonlinear controllers

  • Development of Model Predictive Control

Examples: Magnetic levitation and guidance function of the Transrapid train, control of a complex network of plants from different industries, linear motor control, and many more

Rapid Control Prototyping

Engineer fitting small, electronic hardware components in the lab

  • Autocoding of the developed control algorithms and/or the simulation models

  • Construction of interfaces in hardware

  • Specification of series hardware

Examples: Hardware-in-the-loop operation of individual components in our laboratory, test operation of the developed control algorithms on board a ship

Testing and validation

Screen showing measurement data diagrams, mobile phone in front of it shows video of a test drive

  • Specification and execution of measurement campaigns

  • Evaluation of measurement data in comparison with simulation data

  • Validation of simulation models and controllers

Examples: Maglev train Transrapid on the test facility in Emsland, sea trials, test runs of motor vehicles, etc.

Example application: Automated control of dynamic system operation

Example application: Automated control of dynamic system operation

Carbon2Chem technical center in Duisburg
Where optimal interaction is of essence: In the Carbon2Chem® technical center, the technical implementation of the concept is tested under real conditions on an area of 3,700 square meters

Carbon2Chem® as a building block for climate protection

The large-scale Carbon2Chem® project initiated by thyssenkrupp makes use of the CO2 generated during steel production, rather than having it escape into the atmosphere (Carbon Capture and Utilization): To do this, the gas emitted during steel production is processed (using wind and solar energy) to convert the contained CO2 into valuable chemical raw materials. This doesn't just capture and utilize carbon dioxide – it also reduces the amount of crude oil which would otherwise have to be extracted in order to produce those chemical products.

More about the project

The complexity of the plant network requires efficient control

The Carbon2Chem® project involves partners from the chemical, energy and steel industries, creating a fascinating collaboration between key national industries. This leads to a high complexity which entails various challenges, like, for example, the safe and efficient operation of the plant network as a whole. Funded by the German Federal Ministry of Education and Research, the Carbon2Chem® project therefore researches intelligent control processes, in order to achieve the best possible utilization of the plants in accordance with ecological and economic criteria.

Interactive illustration of a modern compound system control

TechCenter Control Technology implementing an efficient solution

For the task described above, TechCenter Control Technology developed and analyzed compound control systems using Model Predictive Control. The following link provides an interactive illustration of the control task and of the effects of different control methods. Feel free to access the tool and try controlling the system yourself!

Try the tool now using the following user manual

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For more information on the project itself, we are happy to provide the official brochure on funding phase 2 for download. Click here to download

Do you have a project that you might need our help with?

We look forward to hearing from you!

Contact person:
Dr. Qinghua Zheng
Manager Simulation & Modelling

Moosacher Str. 58

80809 Munich

Germany

tk-mail Mail