Integrating model-in-the-loop simulations to model-driven development in industrial control

Abstract

Software applications are becoming increasingly important in automation and control systems. This has forced control system vendors and integrators to pursue new, more effective software development practices. One of the promising research paths has been the utilization of Unified Modeling Language and model-driven development. However, integration of simulations to the existing model-driven development approaches still has not been sufficiently described in the literature. This is surprising as advanced mathematical simulation tools are already in use in the domain to facilitate control algorithm development. In this paper, this issue is addressed by extending a tool-supported model-driven development process with object-oriented, component-based simulation capabilities. To demonstrate the proposed technique, a control system model for a crane system is developed and the technique then used to create a Modelica simulation of the controlled crane.

Systematic Literature Review of MBSE Tool-Chains

“…The integration capability is the tool-chain's function for managing the tools' interconnections, interfaces, relationships and dependencies, and the processes of requirement management, architecture design, interface definition, and verification & validation. Integration capability increases the automation of system development; for example, mathematical simulation tools and system modeling tools were integrated to support automatic verification in control systems [35]. Moreover, integration capability improves design efficiency, as, for instance, in a model-driven embedded system design flow integrating the SysML and SystemC-UML profiles to realize hardware-software co-design [36].…”