Safety controllers are system or software components responsible for handling risk in many machine applications. This tool paper describes a use case and a workflow for YAP, a research tool for risk modelling and discrete-event safety controller design. The goal of this use case is to derive a safety controller from hazard analysis and risk assessment, to define a design space for this controller, and to select a verified optimal controller instance from this design space. We represent this design space as a stochastic model and use YAP for risk modelling and generation of parts of this stochastic model. For the controller verification and selection step, we use a stochastic model checker. The approach is illustrated by an example of a collaborative robot operated in a manufacturing work cell.
@article{arxiv.2012.01649,
title = {YAP: Tool Support for Deriving Safety Controllers from Hazard Analysis and Risk Assessments},
author = {Mario Gleirscher},
journal= {arXiv preprint arXiv:2012.01649},
year = {2020}
}