Model-based Control with Guaranteed Safety and Performance

Description

Systems complexity has been identified as one of the distinguishing features in the future smart factory. In this research project, we propose to develop novel methods that can handle such complexity and become an enabler technology in the systems integration of the future smart factory.

In the first part of the project, we will develop model reduction methods that allow for a systematic complexity reduction of the dynamical models describing the complete production process. Since the model describes real physical processes, the resulting simplified model must still retain most of the physical properties of the original model and can be used to design the intelligent controller, one of the crucial parts in the smart factory concept. The concept of passivity-preserving model reduction methods as pursued in our research group will play an important role in this endeavour.

Based on the availability of the simplified (nonlinear) dynamical models, we will develop model-based control design that can guarantee safety of the whole process and at the same time, can achieve a prescribed performance measure. The method will be based on the combination of passivity-based control method with the concept of Control Lyapunov-Barrier Functions, as proposed recently in our research group.

Project leader

prof. dr. ir. Bayu Jayawardhana

PhD Student

Nelson Chan

Funding

Region of Smart Factories, financed through SNN