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VIGA - Virtual Instructor for General Aviation

  • The most common cause of incidents and accidents in aviation is linked to the category “Loss of Control Inflight” [1]. Remarkably in consequence this means that aircraft without any technical defect or such with manageable defects according to certification requirements are involved. The research project “Virtual Instructor for General Aviation” (VIGA) was aimed to validate an idea that addresses this problem by an entirely different approach. The idea can be best described by looking at the way a flight instructor takes decisions to intervene. A human pilot has an expectation of the maneuvers and the corresponding trajectories that can be flown in the future based on the present flight conditions. Decision making is based on the analysis of the consequences of the expectations. This approach is one of the key principles of the project, and is completely different to any known AFCS system. Yet technical implementation requires considerable effort. Essentially it comprises a faster than real time simulation with an adequately accurate aerodynamic model of the particular aircraft in combination with a module to evaluate the results of the simulated exit trajectories. In consequence this idea requires an autopilot module capable of tracking the calculated three-dimensional trajectories which then resulted in the need to design and develop a completely new type of autopilot algorithm. The objective of this project was to test and demonstrate principle functionality thereby also finding pathways determining future developments as well as to analyze system behavior. Therefore, the project was deliberately designed to help the pilot by depicting the solutions on the PFD. Direct intervention of the system with aircraft flight controls did not take place. This also raised the question of how to design an effective visual human interface. Fortunately, all results proved to be very satisfying. The underlying idea could be validated and was demonstrated both in a simulation environment and in flight test. The path tracking algorithm was developed in a parallel project and also showed very satisfactory results, meeting all requirements.

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Metadaten
Author:Wolfgang Rüther-Kindel, Gábor Csapó, Robert Vilter, Fabian Quaeck, Nick Stuckert
URN:urn:nbn:de:kobv:526-opus4-19171
URL:https://eurognc.ceas.org/archive/EuroGNC2022/html/CEAS-GNC-2022-055.html
Parent Title (English):Proceedings of the 2022 CEAS EuroGNC conference
Document Type:Conference Proceeding
Language:English
Year of Publication:2022
Publishing Institution:Technische Hochschule Wildau
Release Date:2024/04/24
Tag:EGPWS; UPRT; VIGA; general Aviation; human interface; loss of control; path tracking algorithm; simulation
Article Number:CEAS-GNC-2022-055
Source:Wolfgang Rüther-Kindel, Gábor Csapó, Robert Vilter, Fabian Quaeck, Nick Stuckert: VIGA - Virtual Instructor for General Aviation. Proceedings of the 2022 CEAS EuroGNC conference. Berlin, Germany. May 2022. CEAS-GNC-2022-055.
Faculties an central facilities:Fachbereich Ingenieur- und Naturwissenschaften
Dewey Decimal Classification:6 Technik, Medizin, angewandte Wissenschaften / 62 Ingenieurwissenschaften / 620 Ingenieurwissenschaften und zugeordnete Tätigkeiten
Licence (German):Creative Commons - CC BY - Namensnennung 4.0 International
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