Benchmarking Variants of a Hardware-in-the-Loop Simulation System

Aretskin-Hariton, Eliot D.; Zinnecker, Alicia M.; Kratz, Jonathan L.; Culley, Dennis E.; Thomas, George

doi:10.2514/6.2016-1425

Cited by 2 publications

(4 citation statements)

References 6 publications

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“…Details on microcontroller selection, Ethernet back-end network configuration and SXD models have been published. 6 The test case presented here is implemented on an RS-485 half-duplex bus. The network was operated at 4 Mbps which was the maximum functional rate of the microcontrollers used in this study.…”

Section: B Control Networkmentioning

confidence: 99%

“…The main focus of this paper is to develop knowledge about control system performance under real-time network constraints which directly affect loop closure as well as being the mechanism for integrating the distributed control system. Previous studies [4][5][6][7] have employed a series of increasing levels of network fidelity to improve the understanding of information flow within a distributed control system. The Commercial Modular Aero-Propulsion System Simulation 40k (C-MAPSS40k) software is used as the engine model for this work.…”

Section: Introductionmentioning

confidence: 99%

“…This realization spurred the development of empirical methods using the smart node models embedded on generic microcontroller hardware in a configuration known as Processor-in-the-Loop (PIL). 6 The hardware smart nodes were intended to replicate the 'systems of asynchronous systems' inherent in distributed control.…”

Section: Introductionmentioning

confidence: 99%

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Design and Benchmarking of a Network-In-the-Loop Simulation for Use in a Hardware-In-the-Loop System

Aretskin-Hariton

Thomas

Kratz

et al. 2017

AIAA Modeling and Simulation Technologies Conference

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Distributed engine control (DEC) systems alter aircraft engine design constraints because of fundamental differences in the input and output communication between DEC and centralized control architectures. The change in the way communication is implemented may create new optimum engine-aircraft configurations. This paper continues the exploration of digital network communication by demonstrating a Network-In-the-Loop simulation at the NASA Glenn Research Center. This simulation incorporates a real-time network protocol, the Engine Area Distributed Interconnect Network Lite (EADIN Lite), with the Commercial Modular Aero-Propulsion System Simulation 40k (C-MAPSS40k) software. The objective of this study is to assess digital control network impact to the control system. Performance is evaluated relative to a truth model for large transient maneuvers and a typical flight profile for commercial aircraft. Results show that a decrease in network bandwidth from 250 Kbps (sampling all sensors every time step) to 40 Kbps, resulted in very small differences in control system performance.

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Section: B Control Networkmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Design and Benchmarking of a Network-In-the-Loop Simulation for Use in a Hardware-In-the-Loop System

Aretskin-Hariton

Thomas

Kratz

et al. 2017

AIAA Modeling and Simulation Technologies Conference

Self Cite

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“…All the previous issues are integrated together to construct a high precision autopilot with its two motion controllers: the longitudinal and lateral motion controller [7], [8]. Next PIL simulation step which depends on replacing the emulated hardware under test or the controller strategy in the simulation model with real hardware that interacts with the models designed with the computer simulation programs [9], [10]. The autopilot designed procedure (lateral and longitudinal) of an Ultrastick-25e SUAV is depending on state space linear models (lateral and longitu-dinal) and analytic linear model of a coordinated turn derivation with trimmed values of a straight and leveling scenario [11].…”

Section: Introductionmentioning

confidence: 99%

Improved Design and Implementation of Automatic Flight Control System (AFCS) for a Fixed Wing Small UAV

Soliman¹,

Elbanna²,

Ouda³

et al. 2018

RADIOENGINEERING

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This paper presents an implementation of automatic flight control system (AFCS); analyzes and assures its performance during model in loop (MIL), software in loop (SIL), and processor in loop (PIL) stages. Based on both linear and analytic linear models with trimmed values of straight and leveling scenario, the proposed autopilot is applied to an Ultrastick-25e fixed wing unmanned aerial vehicle (UAV). The implementation of Ultrastick-25e AFCS is accomplished according to the resulted design parameters, and performing various flight scenarios. The choice of avionics and sensors of small UAV (SUAV) required for stability based on commercial off the Shelf (COTS) components. The proposed design uses low cost and light weight micro electro mechanical systems (MEMS) as new sensor technology. Since MEMS suffers from various types of noise, state estimation technique is introduced using both Kalman filter (KF) and complementary filter. Moreover, both results of KF and complementary filter are compared. Finally, PIL simulation is implemented to evaluate the autopilot as hardware components and software algorithms for management and PID control structure with its parameters proposed for implementing AFCS. The results show a good performance in disturbance rejection and robustness against sensors noise.

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Benchmarking Variants of a Hardware-in-the-Loop Simulation System

Cited by 2 publications

References 6 publications

Design and Benchmarking of a Network-In-the-Loop Simulation for Use in a Hardware-In-the-Loop System

Design and Benchmarking of a Network-In-the-Loop Simulation for Use in a Hardware-In-the-Loop System

Improved Design and Implementation of Automatic Flight Control System (AFCS) for a Fixed Wing Small UAV

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