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Methods and Tools in Dynamics and Control
Advanced control design processes are model-based and the control law design problems are also often multi-disciplinary in their nature where many different, often conflicting design requirements have to be fulfilled simultaneously. Tackling control design problems for critical processes in aerospace and robotics demands for efficient and reliable computer-aided methods and tools. We support the computer aided approach by the following basic techniques: multi-disciplinary modelling and simulation, optimisation-based control law design and assessment, non-linear controller synthesis and linear system techniques.
Multi-disciplinary modelling and simulation
System dynamics modelling plays a key role in our activities. We use object-oriented system aggregation modelling based on Modelica/Dymola which unifies energy-flow physical modelling with control-logic signal flow modelling.
Optimisation-based multi-objective design and assessment
For optimisation-based control law parameter tuning and assessment the tool MOPS (Multi-Objective Parameter Synthesis) is provided. Multi-objective optimisation is a proven, well-known parameter tuning technique in control design.
Linear analysis and synthesis methods for robust control
The use of advanced linear system analysis and synthesis techniques to solve challenging control applications in the aerospace and robotics fields requires efficient and numerically reliable computational methods implemented in high-quality robust numerical control software.
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