Design of a Flight Stabilizer System and Automatic Control Using HIL Test Platform

Akyürek, Şeyma; Özden, Gizem Sezin; Atlas, Emre; Kasnakoğlu, Coşku; Kaẏnak, Ünver

doi:10.18178/ijmerr.5.1.77-81

Cited by 5 publications

(2 citation statements)

References 3 publications

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“…Currently work is in progress for establishing hardware-in-the-loop (HIL) and flight test platforms to validate the outlined design strategy [58–67]. Future research directions also include studying alternative methods for the controllers and investigating the possibility of reducing controller size.…”

Section: Discussionmentioning

confidence: 99%

Investigation of Multi-Input Multi-Output Robust Control Methods to Handle Parametric Uncertainties in Autopilot Design

Kasnakoğlu

2016

PLoS ONE

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Some level of uncertainty is unavoidable in acquiring the mass, geometry parameters and stability derivatives of an aerial vehicle. In certain instances tiny perturbations of these could potentially cause considerable variations in flight characteristics. This research considers the impact of varying these parameters altogether. This is a generalization of examining the effects of particular parameters on selected modes present in existing literature. Conventional autopilot designs commonly assume that each flight channel is independent and develop single-input single-output (SISO) controllers for every one, that are utilized in parallel for actual flight. It is demonstrated that an attitude controller built like this can function flawlessly on separate nominal cases, but can become unstable with a perturbation no more than 2%. Two robust multi-input multi-output (MIMO) design strategies, specifically loop-shaping and μ-synthesis are outlined as potential substitutes and are observed to handle large parametric changes of 30% while preserving decent performance. Duplicating the loop-shaping procedure for the outer loop, a complete flight control system is formed. It is confirmed through software-in-the-loop (SIL) verifications utilizing blade element theory (BET) that the autopilot is capable of navigation and landing exposed to high parametric variations and powerful winds.

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Section: Discussionmentioning

confidence: 99%

Investigation of Multi-Input Multi-Output Robust Control Methods to Handle Parametric Uncertainties in Autopilot Design

Kasnakoğlu

2016

PLoS ONE

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“…Connecting control devices to the control object in the form of a real-time model provides control system synthesis, testing, and fault diagnosis. Nowadays, these methods are widely used in the automotive [4,5] and aerospace [6,7] industries. For example, in [4] the authors propose to use a HIL platform for testing different control strategies for the adaptive cruise control of vehicles.…”

Section: Introductionmentioning

confidence: 99%

Diagnosis of the Static Excitation Systems of Synchronous Generators with the Use of Hardware-In-the-Loop Technologies

et al. 2021

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In this paper, testing and diagnosis methods for the static excitation systems of power plant synchronous generators using Hardware-In-the-Loop technology are described. These methods allow a physical excitation system to be connected to a real-time model of a power plant unit. A feature of a static excitation system is the presence of generator self-excitation—that is, when the input voltages of the excitation system are defined by a synchronous generator. These voltages are determining by the digital model, which creates additional difficulties with combining a digital model with a real excitation system. Various ways to solve this problem are described in this article; in particular, we focus on the option in which the gate-impulses of a thyristor converter are applied to the digital model by a real static excitation system. The real-time models are based on the method of average voltages in the integration step. This method is effective for providing numerical stability for the models of power schemes and their functioning in real time mode over a long period. A synchronization method for the calculation time of the model with real time is described. The adequacy of the described method is proved by the results of the static excitation system of synchronous generators testing in operating and fault modes.

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Automatic Modeling System for Skeleton Model of Aircraft with Complex Surfaces

Zheng

Han

et al. 2020

2020 5th International Conference on Computer and Communication Systems (ICCCS)

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Design of a Flight Stabilizer System and Automatic Control Using HIL Test Platform

Cited by 5 publications

References 3 publications

Investigation of Multi-Input Multi-Output Robust Control Methods to Handle Parametric Uncertainties in Autopilot Design

Investigation of Multi-Input Multi-Output Robust Control Methods to Handle Parametric Uncertainties in Autopilot Design

Diagnosis of the Static Excitation Systems of Synchronous Generators with the Use of Hardware-In-the-Loop Technologies

Automatic Modeling System for Skeleton Model of Aircraft with Complex Surfaces

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