A Generic Solution to Software-in-the-Loop

Demers, Stephanie; Gopalakrishnan, P.; Kant, L.

doi:10.1109/milcom.2007.4455268

Cited by 50 publications

(23 citation statements)

References 4 publications

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“…The strong need for a reduction of calibration costs and time leads to a reduction of the test rooms. A further step may be to transfer all components in a single simulation environment, this procedure is called the software in the loop calibration [19] [20]. The data are no longer acquired through measurements, but via simulations, i.e.…”

Section: State Of the Artmentioning

confidence: 99%

Virtual Calibration Method for Diesel Engine by Software in The Loop Techniques

Cameretti

Landolfi²,

Tesone³

et al. 2019

IJAME

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The calibration of the engine control unit is increased for the development of the whole automotive system. The aim is to calibrate the electronic engine control to match the decreasing emission requirements and increasing fuel economy demands. The reduction of the number of tests on vehicles represents one of the most important requirements for increasing efficiency of the engine calibration process. However, the definition of the design of experiment is not straightforward because the data is not known beforehand, so it is difficult to process and analyse this data to achieve a globally valid model. To reduce time effort and costs the virtual calibration can be a valid solution. This procedure is called software in the loop (SIL) calibration able to develop a process to systematically identify the optimal balance of engine performance, emissions and fuel economy. In this work, a virtual calibration methodology is presented by using a two-stage model to get minimum exhaust emissions of a diesel engine. The data used are from a GT-Power model of a 3L supercharged diesel engine. The model is able to calculate the engine emissions for different engine parameters (such as the start of injection, EGR fraction and rail pressure) and from optimisation process, new injection start maps that reduce pollutant emissions are created.

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Section: State Of the Artmentioning

confidence: 99%

Virtual Calibration Method for Diesel Engine by Software in The Loop Techniques

Cameretti

Landolfi²,

Tesone³

et al. 2019

IJAME

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“…The primary goal of code-based simulation is verifying the designed models with respect to source code, testing whether the models perform normally after model-based simulation and whether the models can be implemented correctly. Also, well-written code may be reused when real system is implemented [8].…”

Section: Code-based Simulationmentioning

confidence: 99%

Design of ZeroMQ-Based Cooperative Simulation Framework for Distributed Code and Model Components

Lee¹,

Park²,

Lee³

2015

IJFCC

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we can simulate model or source code of IoT systems to test many of these operations. Existing simulation techniques can either perform model-based or code-based simulation one at a time. In this approach, already developed model cannot be utilized for code-based simulation and vice-versa. Also most of the existing simulation techniques work in central isolated environment.In this paper, we propose a ZeroMQ-based [3] framework for simulating distributed components to mitigate the aforementioned problems. The framework enables a component of a system to communicate with other components of the system to simulate through ZeroMQ-based message broker. The proposed structure is able to perform cooperative simulation among model and code components, which makes it possible to incrementally implement the system. This paper is structured as follows. Section II provides related work and Section III provides the structure of framework to cooperatively simulate model and code. For providing feasibility of our approach, in Section IV, case study is presented and Section V provides conclusion. II. RELATED WORK A. Host-Based TestingUnlike general software which is developed in target machine environment, embedded software is developed in host environment and is usually tested in the same environment [4]. Simulation is usually performed in the host environment that is not a target machine but PC or VP (Virtual Prototype) [5]. IoT system [1] possess the same problems faced by embedded distributed environment. Some parts of the system must be tested in target environment whereas other parts can be tested in the host environment because the host environment is clearly different from the target machine environment. In this paper, the proposed framework performs simulation in host environment in which independent simulation of each components represents unit testing whereas simulation of multiple components represents integration testing. B. Model-Based SimulationIt is not difficult to simulate a model which does not interact with other components. But in IoT environment, most systems have not only several abstract levels but also several distributed applications which interact among themselves [6].These distributed models are defined as sub-models and these sub-models may be parts of one model which impose the object-oriented concept. Model components communicate with each other only through specified message. In this   Abstract-Recently, the scale of distributed computing environment is growing larger. One of the reasons is development of IoT environment which directly impacts the human life by providing instant access to vast amount of information and services correspond to healthcare, smart home service, etc. Interaction testing among distributed systems such as IoT systems is non-trivial task, also cooperative simulation of both model and code components is more difficult one. Model-based and code-based simulation techniques are widely used to test embedded systems. Usually code-based simulation is possible when all the modu...

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“…However, development and validation of such multi-vehicle systems are complicated tasks since there are many complex issues that need to be taken into account. Some of them, such as complex interactions among individual entities (such as collision and obstacle avoidance, team cooperation, and coordinated movement), can be modeled with the help of software simulations [ 1 , 2 ]. However, since the goal of the development process is to deploy algorithms in the real world, software simulations and computational models by themselves are not satisfactory.…”

Section: Introductionmentioning

confidence: 99%

Communication Architecture in Mixed-Reality Simulations of Unmanned Systems

Martin

Faigl

Rollo

2018

Sensors

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Verification of the correct functionality of multi-vehicle systems in high-fidelity scenarios is required before any deployment of such a complex system, e.g., in missions of remote sensing or in mobile sensor networks. Mixed-reality simulations where both virtual and physical entities can coexist and interact have been shown to be beneficial for development, testing, and verification of such systems. This paper deals with the problems of designing a certain communication subsystem for such highly desirable realistic simulations. Requirements of this communication subsystem, including proper addressing, transparent routing, visibility modeling, or message management, are specified prior to designing an appropriate solution. Then, a suitable architecture of this communication subsystem is proposed together with solutions to the challenges that arise when simultaneous virtual and physical message transmissions occur. The proposed architecture can be utilized as a high-fidelity network simulator for vehicular systems with implicit mobility models that are given by real trajectories of the vehicles. The architecture has been utilized within multiple projects dealing with the development and practical deployment of multi-UAV systems, which support the architecture’s viability and advantages. The provided experimental results show the achieved similarity of the communication characteristics of the fully deployed hardware setup to the setup utilizing the proposed mixed-reality architecture.

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A Generic Solution to Software-in-the-Loop

Cited by 50 publications

References 4 publications

Virtual Calibration Method for Diesel Engine by Software in The Loop Techniques

Virtual Calibration Method for Diesel Engine by Software in The Loop Techniques

Design of ZeroMQ-Based Cooperative Simulation Framework for Distributed Code and Model Components

Communication Architecture in Mixed-Reality Simulations of Unmanned Systems

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