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Mechatronic system development
Mechatronic systems are characterized by the close interaction of mechanics, actuators, sensors and electronic control units with the software implemented on them.
For the development of mechatronic systems, adcos uses a customized development process that converts a system concept into an optimal prototype in the shortest possible time through the consistent application of model and simulation-based methods and the use of our own Rapid Control Prototyping Hardware (PUMA / PANTHER).
This prototype is used on the one hand for functional verification and system validation and on the other hand represents the basis for the requirement specification for the subsequent series development.
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This is how our development process works:
System concept
Ideally, at the beginning of the mechatronic system development there is only a system concept in which the system structure and associated parameters have not yet been finally determined. The optimal system concept is obtained as a result of the mechatronic system development.
Modeling
The physical/mathematical description of the mechatronic system takes place in the modeling. System parts from different physical disciplines can be simulated together in this way. The model contains all relevant system properties and, in particular, depicts the dynamic and static behavior with sufficient accuracy.
System analysis
The analysis is carried out both in the time and in the frequency domain with the help of the previously derived model. In this way, a deeper insight into the system properties and the parameter dependencies is obtained.
Control Design
The selection of a suitable control structure depends on the findings from the previous analysis and the target requirements of the system. The control design is carried out model-based on the basis of the (possibly simplified or linearized) physical/mathematical model.
Realization
After the previous stations have been run through iteratively, the optimal system concept that is now available can be implemented in a first prototype. The designed control is implemented on a Rapid Control Prototyping (RCP) platform using automatic code generation. The time-consuming and cost-intensive development of an ECU is completely eliminated in this phase and only becomes relevant in later series development.
Test
The system can now be extensively tested and checked against the target requirements. The comparison of measurement and simulation results serves to improve the model quality and the associated control quality. Changes in the software can be carried out very efficiently thanks to the automated RCP-process.