Modeling Cyber-Physical Production Systems with SystemC-AMS

The heterogeneous nature of SystemC-AMS makes it a perfect candidate solution to support Cyber-Physical Production Systems (CPPSs), i.e., systems that are characterized by a tight interaction of the cyber part with the surrounding physical world and with manufacturing production processes. Nonetheless, the support for the modeling of physical and mechanical dynamics typical of production machinery goes far beyond the initial application scenario of SystemC-AMS, thus limiting its effectiveness and adoption in the production and manufacturing context. This paper starts with an analysis of the current adoption of SystemC-AMS to highlight the open points that still limit its effectiveness, with the goal of pinpointing current issues and to propose solutions that could improve its effectiveness, and make SystemC-AMS an essential resource also in the new Industry 4.0 scenario

Bridging MoCs in SystemC specifications of heterogeneous systems

In order to get an efficient specification and simulation of a heterogeneous system, the choice of an appropriate model of computation (MoC) for each system part is essential. The choice depends on the design domain (e.g., analogue or digital), and the suitable abstraction level used to specify and analyse the aspects considered to be important in each system part. In practice, MoC choice is implicitly made by selecting a suitable language and a simulation tool for each system part. This approach requires the connection of different languages and simulation tools when the specification and simulation of the system are considered as a whole. SystemC is able to support a more unified specification methodology and simulation environment for heterogeneous system, since it is extensible by libraries that support additional MoCs. A major requisite of these libraries is to provide means to connect system parts which are specified using different MoCs. However, these connection means usually do not provide enough flexibility to select and tune the right conversion semantic in amixed-level specification, simulation, and refinement process. In this article, converter channels, a flexible approach for MoC connection within a SystemC environment consisting of three extensions, namely, SystemC-AMS, HetSC, and OSSS+R, are presented.This work is supported by the FP6-2005-IST-5 European project

Modeling and Simulation of Cyber-Physical Electrical Energy Systems with SystemC-AMS

Modern Cyber-Physical Electrical Energy Systems (CPEES) are characterized by wider adoption of sustainable energy sources and by an increased attention to optimization, with the goal of reducing pollution and wastes. This imposes a need for instruments supporting the design flow, to simulate and validate the behavior of system components and to apply additional optimization and exploration steps. Additionally, each system might be tested with a number of management policies, to evaluate their economic impact. It is thus evident that simulation is a key ingredient in the design flow of CPEES. This paper proposes a framework for CPEES modeling and simulation, that relies on the open-source standard SystemC-AMS. The paper formalizes the information and energy flow in a generic CPEES, by focusing on both AC and DC components, and by including support for mechanical and physical models that represent multiple energy sources and loads. Experimental results, applied to a complex CPEES case study, will prove the effectiveness of the proposed solution, in terms of accuracy, speed up w.r.t. the current state of the art Matlab/Simulink, and support for the design flow

Addressing the Smart Systems Design Challenge: The SMAC Platform

This article presents the concepts, the organization, and the preliminary application results of SMAC, a smart systems co-design platform. The SMAC platform, which has been developed as Integrated Project (IP) of the 7th ICT Call under the Objective 3.2 \u201cSmart components and Smart Systems integration\u201d addresses the challenges of the integration of heterogeneous and conflicting domains that emerge in the design of smart systems. SMAC includes methodologies and EDA tools enabling multi-disciplinary and multi-scale modelling and design, simulation of multidomain systems, subsystems and components at different levels of abstraction, system integration and exploration for optimization of functional and non-functional metrics. The article presents the preliminary results obtained by adopting the SMAC platform for the design of a limb tracking smart system

Towards more Dependable Verification of Mixed-Signal Systems

The verification of complex mixed-signal systems is a challenge, especially considering the impact of parameter variations. Besides the established approaches like Monte-Carlo or Corner-Case simulation, a novel semi-symbolic approach emerged in recent years. In this approach, parameter variations and tolerances are maintained as symbolic ranges during numerical simulation runs by using affine arithmetic. Maintaining parameter variations and tolerances in a symbolic way significantly increases verification coverage. In the following we give a brief introduction and an overview of research on semi-symbolic simulation of both circuits and systems and discuss possible application for system level verification and optimization

Wireless extension to the existing SystemC design methodology

This research uses a SystemC design methodology to model and design complex wireless communication systems, because in the recent years, the complexity of wireless communication systems has increased and the modelling and design of such systems has become inefficient and challenging. The most important aspect of modelling wireless communication systems is that system design choices may affect the communication behaviour and also communication design choices may impact on the system design. Whilst, the SystemC modelling language shows great promise in the modelling of complex hardware/software systems, it still lacks a standard framework that supports modelling of wireless communication systems (particularly the use of wireless communication channels). SystemC lacks elements and components that can be used to express and simulate wireless systems. It does not support noise links natively. To fill this gap, this research proposes to extend the existing SystemC design methodology to include an efficient simulation of wireless systems. It proposes to achieve this by employing a system-level model of a noisy wireless communication channel, along with a small repertoire of standard components (which of course can be replaced on a per application basis). Finally, to validate our developed methodology, a flocking behaviour system is selected as a demonstration (case study). This is a very complex system modelled based on the developed methodology and partitioned along different parameters. By applying our developed methodology to model this system as a case study, we can prove that incorporating and fixing the wireless channel, wireless protocol, noise or all of these elements early in the design methodology is very advantageous. The modelled system is introduced to simulate the behaviour of the particles (mobile units) that form a mobile ad-hoc communication network. Wireless communication between particles is addressed with two scenarios: the first is created using a wireless channel model to link each pair of particles, which means the wireless communication between particles is addressed using a Point-to-Point (P2P) channel; the other scenario is created using a shared channel (broadcast link). Therefore, incorporating wireless features into existing SystemC design methodology, as done in this research, is a very important task, because by developing SystemC as a design tool to support wireless systems, hardware aspects, software parts and communication can be modelled, refined and validated simultaneously on the same platform, and the design space expanded into a two-dimensional design space comprising system and communication