Real-time characterization of Microsoft Flight Simulator 2004 for integration into Hardware In the Loop architecture

Louali, Rabah; Belloula, Abdelmalek; Djouadi, Mohand Saïd; Bouaziz, Samir

doi:10.1109/med.2011.5983151

Cited by 14 publications

(11 citation statements)

References 10 publications

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“…Indeed, the potential of MSFS to aid on many tasks related to the aerospace field is notable [9]. The real time capabilities of MSFS are confirmed by [10].…”

Section: Introductionmentioning

confidence: 90%

Optimal H<inf>∞</inf> controller on the stability of MAVs in a novel Software-in-the-Loop control platform

Sampaio

Becker

Siqueira

et al. 2013

2013 IEEE International Conference on Industrial Technology (ICIT)

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This paper presents a novel Software-in-the-Loop (SiL) evaluation of an optimal H∞ robust controller on the stability problem of MAVs (Micro Aerial Vehicles) in the quadrotor configuration, whose originality is to employ c Ascending Technologies Pelican MAV. The synthesis of the robust controller is grounded by the γ-iteration algorithm, which results in a MIMO optimal controller bounded by an attenuation level. The core of SiL platform, a customized C++/C# software named FVMS (Flight Variables Management System), developed by ART (Aerial Robots Team) at USP/EESC, is able to deal with full duplex communication to c Microsoft Flight Simulator (MSFS). In turn, MSFS acts as the virtual environment through which a complete dynamic and graphic model of the Pelican MAV can be configured and emulated. Since FVMS can fully reach every variable related to the simulated MAV, the optimal H∞ control algorithm can be implemented for evaluation in SiL simulation. Hence, the stability of the Pelican MAV can be observed. Regarding MAVs control evaluation, SiL simulation potentially contributes to save battery time, to ease control synthesis and prototyping and to prevent accidents during tests with the real robot. Results of Pelican stabilization in SiL simulation in hovering mode are presented and discussed.

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“…Indeed, the potential of MSFS to aid on many tasks related to the aerospace field is notable [9]. The real time capabilities of MSFS are confirmed by [10].…”

Section: Introductionmentioning

confidence: 90%

Optimal H<inf>∞</inf> controller on the stability of MAVs in a novel Software-in-the-Loop control platform

Sampaio

Becker

Siqueira

et al. 2013

2013 IEEE International Conference on Industrial Technology (ICIT)

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“…Nonetheless the graphical response is satisfactory. • In [5] the authors analyse the real-time profile of MSFS04 with a HiL architecture. The results show that MSFS04 behaves like a real-time system with sampling rate up to a 75Hz and standard deviation around 100ns.…”

Section: A Microsoft Simulator 2004mentioning

confidence: 99%

FVMS Software-in-the-Loop Flight Simulation Experiments: Guidance, Navigation and Control

Rodrigues¹,

Sampaio²,

Aguiar³

et al. 2014

2014 Joint Conference on Robotics: SBR-LARS Robotics Symposium and Robocontrol

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This paper proposes a new and powerful methodology to the evaluation of guidance, navigation and control algorithms (GNC) in Software-in-the-Loop (SiL) flight simulation using Microsoft Flight Simulator (MSFS). The SiL was assisted by the Flight Variables Management System (FVMS), a Graphic User Interface (GUI) that fully interfaces communication between MSFS and general purpose custom GNC algorithms. The originality of this new approach is to make the FVMS communication layer completely transparent to the designer so that full attention may be focused exclusively on guidance algorithm development and the debugging process as well. Furthermore, the application may be extended to both multi-engine fixed and rotary wing aircraft. When it comes to the design, development and validation of brand new control algorithms of GNC for unmanned systems, SiL flight simulation becomes an exceedingly useful tool since end-product may misbehave in-flight. It impacts over avoiding hazard situation of crew and population in the ground and on preserving expensive equipment of being damaged. To illustrate FVMS capabilities and assets on GNC systems design, a nonlinear path following algorithm is set up. FVMS GNC module is endowed with a full map interface and a mission management through which one may build/rebuild the UAV path on-line. The results demonstrate the potential of the framework on the implementation of either simple or more complex solutions for the GNC problem.

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“…Commercial flight simulators can be integrated into UAS simulation platforms, which reduces the cost and time of development of these platforms [10][11] [12][13]. Reference [3] proposes a conceptualization of an integrated simulation platform for autonomous systems based on a perspective of "system of systems".…”

Section: Introductionmentioning

confidence: 99%

“…This avoids a tedious and time-consuming development. The reasons for this choice are explained in [10].…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Platform simulation based Unmanned Aircraft Systems design

Louali¹,

Bouaziz²,

Elouardi³

et al. 2014

2014 Second World Conference on Complex Systems (WCCS)

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Unmanned Aircraft Systems (UAS) know a tremendous interest in many fields thanks to their wide range of applications. UAS are complex "system of systems" because, in addition to stringent safety and embedded constraints, they incorporate heterogeneous interacting sub-systems. Adequate development approaches and tools have to be provided to deal with this complexity. A literature review concerning this perspective shows a lack because current UAS simulation tools focus on limited or isolated development application. We propose a system-level simulation platform for the development of UAS. The proposed platform supports a component-based design for the UAS where each component is developed using a based-model methodology. A network-oriented architecture and object-oriented conception was adopted to design the platform. This allows the latter to be modular, flexible and integrate many UAS components simultaneously. A Controller Area Network (CAN) data bus is integrated to the platform. It will permit a "smooth" transition from the simulation phase to experimentation phase. To accelerate the platform design, a COTS flight simulator is integrated. This latter implements the dynamic, graphic and environmental model of the aircraft.

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Real-time characterization of Microsoft Flight Simulator 2004 for integration into Hardware In the Loop architecture

Cited by 14 publications

References 10 publications

Optimal H<inf>∞</inf> controller on the stability of MAVs in a novel Software-in-the-Loop control platform

Optimal H<inf>∞</inf> controller on the stability of MAVs in a novel Software-in-the-Loop control platform

FVMS Software-in-the-Loop Flight Simulation Experiments: Guidance, Navigation and Control

Platform simulation based Unmanned Aircraft Systems design

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Real-time characterization of Microsoft Flight Simulator 2004 for integration into Hardware In the Loop architecture

Cited by 14 publications

References 10 publications

Optimal H<inf>&#x221E;</inf> controller on the stability of MAVs in a novel Software-in-the-Loop control platform

Optimal H<inf>&#x221E;</inf> controller on the stability of MAVs in a novel Software-in-the-Loop control platform

FVMS Software-in-the-Loop Flight Simulation Experiments: Guidance, Navigation and Control

Platform simulation based Unmanned Aircraft Systems design

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Product

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Optimal H<inf>∞</inf> controller on the stability of MAVs in a novel Software-in-the-Loop control platform

Optimal H<inf>∞</inf> controller on the stability of MAVs in a novel Software-in-the-Loop control platform