Architecture-Level Representation and Analysis of Regulatory Controller Configuration for Complex Mechatronic Systems

Abstract

We propose a method for automatically extracting information that is relevant for the controller design activities from a model that represents architecture-level information and concerns, and show how the extracted information can be analyzed for control design purposes. Control design is an inherently multidisciplinary activity that can benefit from improvements in the communication and exchange of updated design information between stakeholders during product development. In this proposal, the critical source of improvement for communication is the use of architecture-level models at the core of design activities. The main contributions of this work are the use of an architecture model and the extraction of information (relevant to control design) from it, while, with the exception of an experimental contribution, the control analysis process is taken from existing linear structured system techniques.