Masterarbeit MSTR-2024-59

Bibliograph.
Daten
Hutter, Franziska: Transformation of MechatronicUML Models to Matlab with Simulink and Stateflow for Simulating Autonomous Driving Functions.
Universität Stuttgart, Fakultät Informatik, Elektrotechnik und Informationstechnik, Masterarbeit Nr. 59 (2024).
77 Seiten, englisch.
Kurzfassung

Context. To develop comprehensive software a model-driven approach can be helpful. Before integrating the generated code from the model into the car system it is imperative to test and simulate it thoroughly. This is especially important for safety-critical applications like the autonomous driving system. MechatronicUML is a specific language to create models for such applications. Problem. While MechatronicUML can be used to model safety-critical systems, it can’t simulate them. Objective. To be able to simulate the models, they need to be transformed into another system like Matlab/Simulink. Method. Model-to-Model and Model-to-Text transformations are used to automatically transform a MechatronicUML model into an equivalent Matlab/Simulink model to be able to simulate autonomous driving functions. Result. The integration of simulation capabilities of MechatronicUML models into the MechatronicUML process and the Verification of the Model-to-Model transformation. Conclusion. An approach was found to transform a MechatronicUML model into a Matlab/Simulink model, but more work is needed to further automate this process.

Abteilung(en)Universität Stuttgart, Institut für Softwaretechnologie, Softwarequalität und -architektur
BetreuerBecker, Prof. Steffen; Weller, Marcel; Klinaku, Floriment
Eingabedatum17. Dezember 2024
   Publ. Informatik